code: def test_ApplyMask_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-3,
          ),
          invert_xfm=dict(
              argstr="-invert",
          ),
          keep_mask_deletion_edits=dict(
              argstr="-keep_mask_deletion_edits",
          ),
          mask_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          mask_thresh=dict(
              argstr="-T %.4f",
          ),
          out_file=dict(
              argstr="%s",
              extensions=None,
              hash_files=True,
              keep_extension=True,
              name_source=["in_file"],
              name_template="%s_masked",
              position=-1,
          ),
          subjects_dir=dict(),
          transfer=dict(
              argstr="-transfer %d",
          ),
          use_abs=dict(
              argstr="-abs",
          ),
          xfm_file=dict(
              argstr="-xform %s",
              extensions=None,
          ),
          xfm_source=dict(
              argstr="-lta_src %s",
              extensions=None,
          ),
          xfm_target=dict(
              argstr="-lta_dst %s",
              extensions=None,
          ),
      )
      inputs = ApplyMask.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_ApplyMask_inputs() without return types