code: def test_MultiChannelNewSegment_inputs():
      input_map = dict(
          affine_regularization=dict(
              field="warp.affreg",
          ),
          channels=dict(
              field="channel",
          ),
          matlab_cmd=dict(),
          mfile=dict(
              usedefault=True,
          ),
          paths=dict(),
          sampling_distance=dict(
              field="warp.samp",
          ),
          tissues=dict(
              field="tissue",
          ),
          use_mcr=dict(),
          use_v8struct=dict(
              min_ver="8",
              usedefault=True,
          ),
          warping_regularization=dict(
              field="warp.reg",
          ),
          write_deformation_fields=dict(
              field="warp.write",
          ),
      )
      inputs = MultiChannelNewSegment.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_MultiChannelNewSegment_inputs() without return types