code: def test_Randomise_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          base_name=dict(
              argstr='-o "%s"',
              position=1,
              usedefault=True,
          ),
          c_thresh=dict(
              argstr="-c %.1f",
          ),
          cm_thresh=dict(
              argstr="-C %.1f",
          ),
          demean=dict(
              argstr="-D",
          ),
          design_mat=dict(
              argstr="-d %s",
              extensions=None,
              position=2,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          f_c_thresh=dict(
              argstr="-F %.2f",
          ),
          f_cm_thresh=dict(
              argstr="-S %.2f",
          ),
          f_only=dict(
              argstr="--fonly",
          ),
          fcon=dict(
              argstr="-f %s",
              extensions=None,
          ),
          in_file=dict(
              argstr="-i %s",
              extensions=None,
              mandatory=True,
              position=0,
          ),
          mask=dict(
              argstr="-m %s",
              extensions=None,
          ),
          num_perm=dict(
              argstr="-n %d",
          ),
          one_sample_group_mean=dict(
              argstr="-1",
          ),
          output_type=dict(),
          p_vec_n_dist_files=dict(
              argstr="-P",
          ),
          raw_stats_imgs=dict(
              argstr="-R",
          ),
          seed=dict(
              argstr="--seed=%d",
          ),
          show_info_parallel_mode=dict(
              argstr="-Q",
          ),
          show_total_perms=dict(
              argstr="-q",
          ),
          tcon=dict(
              argstr="-t %s",
              extensions=None,
              position=3,
          ),
          tfce=dict(
              argstr="-T",
          ),
          tfce2D=dict(
              argstr="--T2",
          ),
          tfce_C=dict(
              argstr="--tfce_C=%.2f",
          ),
          tfce_E=dict(
              argstr="--tfce_E=%.2f",
          ),
          tfce_H=dict(
              argstr="--tfce_H=%.2f",
          ),
          var_smooth=dict(
              argstr="-v %d",
          ),
          vox_p_values=dict(
              argstr="-x",
          ),
          x_block_labels=dict(
              argstr="-e %s",
              extensions=None,
          ),
      )
      inputs = Randomise.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_Randomise_inputs() without return types