code: def test_RealignUnwarp_inputs():
      input_map = dict(
          est_basis_func=dict(
              field="uweoptions.basfcn",
          ),
          est_first_order_effects=dict(
              field="uweoptions.fot",
          ),
          est_jacobian_deformations=dict(
              field="uweoptions.jm",
          ),
          est_num_of_iterations=dict(
              field="uweoptions.noi",
              maxlen=1,
              minlen=1,
              usedefault=True,
          ),
          est_re_est_mov_par=dict(
              field="uweoptions.rem",
          ),
          est_reg_factor=dict(
              field="uweoptions.lambda",
              maxlen=1,
              minlen=1,
              usedefault=True,
          ),
          est_reg_order=dict(
              field="uweoptions.regorder",
          ),
          est_second_order_effects=dict(
              field="uweoptions.sot",
          ),
          est_taylor_expansion_point=dict(
              field="uweoptions.expround",
              usedefault=True,
          ),
          est_unwarp_fwhm=dict(
              field="uweoptions.uwfwhm",
          ),
          fwhm=dict(
              field="eoptions.fwhm",
          ),
          in_files=dict(
              copyfile=True,
              field="data.scans",
              mandatory=True,
          ),
          interp=dict(
              field="eoptions.einterp",
          ),
          matlab_cmd=dict(),
          mfile=dict(
              usedefault=True,
          ),
          out_prefix=dict(
              field="uwroptions.prefix",
              usedefault=True,
          ),
          paths=dict(),
          phase_map=dict(
              copyfile=False,
              extensions=None,
              field="data.pmscan",
          ),
          quality=dict(
              field="eoptions.quality",
          ),
          register_to_mean=dict(
              field="eoptions.rtm",
          ),
          reslice_interp=dict(
              field="uwroptions.rinterp",
          ),
          reslice_mask=dict(
              field="uwroptions.mask",
          ),
          reslice_which=dict(
              field="uwroptions.uwwhich",
              maxlen=2,
              minlen=2,
              usedefault=True,
          ),
          reslice_wrap=dict(
              field="uwroptions.wrap",
          ),
          separation=dict(
              field="eoptions.sep",
          ),
          use_mcr=dict(),
          use_v8struct=dict(
              min_ver="8",
              usedefault=True,
          ),
          weight_img=dict(
              extensions=None,
              field="eoptions.weight",
          ),
          wrap=dict(
              field="eoptions.ewrap",
          ),
      )
      inputs = RealignUnwarp.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_RealignUnwarp_inputs() without return types