code: def test_FitQt1_inputs():
      input_map = dict(
          acceptance=dict(
              argstr="-acceptance %f",
          ),
          args=dict(
              argstr="%s",
          ),
          b1map=dict(
              argstr="-b1map %s",
              extensions=None,
          ),
          comp_file=dict(
              argstr="-comp %s",
              extensions=None,
              name_source=["source_file"],
              name_template="%s_comp.nii.gz",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          error_file=dict(
              argstr="-error %s",
              extensions=None,
              name_source=["source_file"],
              name_template="%s_error.nii.gz",
          ),
          flips=dict(
              argstr="-flips %s",
              sep=" ",
          ),
          flips_list=dict(
              argstr="-fliplist %s",
              extensions=None,
          ),
          gn_flag=dict(
              argstr="-gn",
              position=8,
          ),
          ir_flag=dict(
              argstr="-IR",
              position=13,
          ),
          lm_val=dict(
              argstr="-lm %f %f",
              position=7,
          ),
          m0map_file=dict(
              argstr="-m0map %s",
              extensions=None,
              name_source=["source_file"],
              name_template="%s_m0map.nii.gz",
          ),
          mask=dict(
              argstr="-mask %s",
              extensions=None,
              position=2,
          ),
          maxit=dict(
              argstr="-maxit %d",
              position=11,
          ),
          mcmap_file=dict(
              argstr="-mcmap %s",
              extensions=None,
              name_source=["source_file"],
              name_template="%s_mcmap.nii.gz",
          ),
          mcmaxit=dict(
              argstr="-mcmaxit %d",
          ),
          mcout=dict(
              argstr="-mcout %s",
              extensions=None,
          ),
          mcsamples=dict(
              argstr="-mcsamples %d",
          ),
          nb_comp=dict(
              argstr="-nc %d",
              position=6,
          ),
          prior=dict(
              argstr="-prior %s",
              extensions=None,
              position=3,
          ),
          res_file=dict(
              argstr="-res %s",
              extensions=None,
              name_source=["source_file"],
              name_template="%s_res.nii.gz",
          ),
          slice_no=dict(
              argstr="-slice %d",
              position=9,
          ),
          source_file=dict(
              argstr="-source %s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          spgr=dict(
              argstr="-SPGR",
          ),
          sr_flag=dict(
              argstr="-SR",
              position=12,
          ),
          syn_file=dict(
              argstr="-syn %s",
              extensions=None,
              name_source=["source_file"],
              name_template="%s_syn.nii.gz",
          ),
          t1_list=dict(
              argstr="-T1list %s",
              extensions=None,
          ),
          t1map_file=dict(
              argstr="-t1map %s",
              extensions=None,
              name_source=["source_file"],
              name_template="%s_t1map.nii.gz",
          ),
          t1max=dict(
              argstr="-T1max %f",
          ),
          t1min=dict(
              argstr="-T1min %f",
          ),
          te_value=dict(
              argstr="-TE %f",
              position=4,
          ),
          tis=dict(
              argstr="-TIs %s",
              position=14,
              sep=" ",
          ),
          tis_list=dict(
              argstr="-TIlist %s",
              extensions=None,
          ),
          tr_value=dict(
              argstr="-TR %f",
              position=5,
          ),
          voxel=dict(
              argstr="-voxel %d %d %d",
              position=10,
          ),
      )
      inputs = FitQt1.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_FitQt1_inputs() without return types