code: def test_ComputeTDI_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          contrast=dict(
              argstr="-constrast %s",
          ),
          data_type=dict(
              argstr="-datatype %s",
          ),
          dixel=dict(
              argstr="-dixel %s",
              extensions=None,
          ),
          ends_only=dict(
              argstr="-ends_only",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fwhm_tck=dict(
              argstr="-fwhm_tck %f",
          ),
          in_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          in_map=dict(
              argstr="-image %s",
              extensions=None,
          ),
          map_zero=dict(
              argstr="-map_zero",
          ),
          max_tod=dict(
              argstr="-tod %d",
          ),
          nthreads=dict(
              argstr="-nthreads %d",
              nohash=True,
          ),
          out_file=dict(
              argstr="%s",
              extensions=None,
              position=-1,
              usedefault=True,
          ),
          precise=dict(
              argstr="-precise",
          ),
          reference=dict(
              argstr="-template %s",
              extensions=None,
          ),
          stat_tck=dict(
              argstr="-stat_tck %s",
          ),
          stat_vox=dict(
              argstr="-stat_vox %s",
          ),
          tck_weights=dict(
              argstr="-tck_weights_in %s",
              extensions=None,
          ),
          upsample=dict(
              argstr="-upsample %d",
          ),
          use_dec=dict(
              argstr="-dec",
          ),
          vox_size=dict(
              argstr="-vox %s",
              sep=",",
          ),
      )
      inputs = ComputeTDI.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_ComputeTDI_inputs() without return types