code: def test_InvWarp_inputs():
      input_map = dict(
          absolute=dict(
              argstr="--abs",
              xor=["relative"],
          ),
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inverse_warp=dict(
              argstr="--out=%s",
              extensions=None,
              hash_files=False,
              name_source=["warp"],
              name_template="%s_inverse",
          ),
          jacobian_max=dict(
              argstr="--jmax=%f",
          ),
          jacobian_min=dict(
              argstr="--jmin=%f",
          ),
          niter=dict(
              argstr="--niter=%d",
          ),
          noconstraint=dict(
              argstr="--noconstraint",
          ),
          output_type=dict(),
          reference=dict(
              argstr="--ref=%s",
              extensions=None,
              mandatory=True,
          ),
          regularise=dict(
              argstr="--regularise=%f",
          ),
          relative=dict(
              argstr="--rel",
              xor=["absolute"],
          ),
          warp=dict(
              argstr="--warp=%s",
              extensions=None,
              mandatory=True,
          ),
      )
      inputs = InvWarp.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_InvWarp_inputs() without return types