code: def test_HARDIMat_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          bvals=dict(
              extensions=None,
              mandatory=True,
          ),
          bvecs=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          image_info=dict(
              argstr="-info %s",
              extensions=None,
          ),
          image_orientation_vectors=dict(
              argstr="-iop %f",
          ),
          oblique_correction=dict(
              argstr="-oc",
          ),
          odf_file=dict(
              argstr="-odf %s",
              extensions=None,
          ),
          order=dict(
              argstr="-order %s",
          ),
          out_file=dict(
              argstr="%s",
              extensions=None,
              position=2,
              usedefault=True,
          ),
          reference_file=dict(
              argstr="-ref %s",
              extensions=None,
          ),
      )
      inputs = HARDIMat.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_HARDIMat_inputs() without return types