code: def test_Blur_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          clobber=dict(
              argstr="-clobber",
              usedefault=True,
          ),
          dimensions=dict(
              argstr="-dimensions %s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fwhm=dict(
              argstr="-fwhm %s",
              mandatory=True,
              xor=("fwhm", "fwhm3d", "standard_dev"),
          ),
          fwhm3d=dict(
              argstr="-3dfwhm %s %s %s",
              mandatory=True,
              xor=("fwhm", "fwhm3d", "standard_dev"),
          ),
          gaussian=dict(
              argstr="-gaussian",
              xor=("gaussian", "rect"),
          ),
          gradient=dict(
              argstr="-gradient",
          ),
          input_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          no_apodize=dict(
              argstr="-no_apodize",
          ),
          output_file_base=dict(
              argstr="%s",
              extensions=None,
              position=-1,
          ),
          partial=dict(
              argstr="-partial",
          ),
          rect=dict(
              argstr="-rect",
              xor=("gaussian", "rect"),
          ),
          standard_dev=dict(
              argstr="-standarddev %s",
              mandatory=True,
              xor=("fwhm", "fwhm3d", "standard_dev"),
          ),
      )
      inputs = Blur.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_Blur_inputs() without return types