code: def test_MRIsCalc_inputs():
      input_map = dict(
          action=dict(
              argstr="%s",
              mandatory=True,
              position=-2,
          ),
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file1=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-3,
          ),
          in_file2=dict(
              argstr="%s",
              extensions=None,
              position=-1,
              xor=["in_float", "in_int"],
          ),
          in_float=dict(
              argstr="%f",
              position=-1,
              xor=["in_file2", "in_int"],
          ),
          in_int=dict(
              argstr="%d",
              position=-1,
              xor=["in_file2", "in_float"],
          ),
          out_file=dict(
              argstr="-o %s",
              extensions=None,
              mandatory=True,
          ),
          subjects_dir=dict(),
      )
      inputs = MRIsCalc.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_MRIsCalc_inputs() without return types