code: def test_FAST_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          bias_iters=dict(
              argstr="-I %d",
          ),
          bias_lowpass=dict(
              argstr="-l %d",
              units="mm",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          hyper=dict(
              argstr="-H %.2f",
          ),
          img_type=dict(
              argstr="-t %d",
          ),
          in_files=dict(
              argstr="%s",
              copyfile=False,
              mandatory=True,
              position=-1,
          ),
          init_seg_smooth=dict(
              argstr="-f %.3f",
          ),
          init_transform=dict(
              argstr="-a %s",
              extensions=None,
          ),
          iters_afterbias=dict(
              argstr="-O %d",
          ),
          manual_seg=dict(
              argstr="-s %s",
              extensions=None,
          ),
          mixel_smooth=dict(
              argstr="-R %.2f",
          ),
          no_bias=dict(
              argstr="-N",
          ),
          no_pve=dict(
              argstr="--nopve",
          ),
          number_classes=dict(
              argstr="-n %d",
          ),
          other_priors=dict(
              argstr="-A %s",
          ),
          out_basename=dict(
              argstr="-o %s",
              extensions=None,
          ),
          output_biascorrected=dict(
              argstr="-B",
          ),
          output_biasfield=dict(
              argstr="-b",
          ),
          output_type=dict(),
          probability_maps=dict(
              argstr="-p",
          ),
          segment_iters=dict(
              argstr="-W %d",
          ),
          segments=dict(
              argstr="-g",
          ),
          use_priors=dict(
              argstr="-P",
          ),
          verbose=dict(
              argstr="-v",
          ),
      )
      inputs = FAST.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_FAST_inputs() without return types