code: def test_SpecifySPMModel_inputs():
      input_map = dict(
          bids_amplitude_column=dict(),
          bids_condition_column=dict(
              usedefault=True,
          ),
          bids_event_file=dict(
              mandatory=True,
              xor=["subject_info", "event_files", "bids_event_file"],
          ),
          concatenate_runs=dict(
              usedefault=True,
          ),
          event_files=dict(
              mandatory=True,
              xor=["subject_info", "event_files", "bids_event_file"],
          ),
          functional_runs=dict(
              copyfile=False,
              mandatory=True,
          ),
          high_pass_filter_cutoff=dict(
              mandatory=True,
          ),
          input_units=dict(
              mandatory=True,
          ),
          outlier_files=dict(
              copyfile=False,
          ),
          output_units=dict(
              usedefault=True,
          ),
          parameter_source=dict(
              usedefault=True,
          ),
          realignment_parameters=dict(
              copyfile=False,
          ),
          subject_info=dict(
              mandatory=True,
              xor=["subject_info", "event_files", "bids_event_file"],
          ),
          time_repetition=dict(
              mandatory=True,
          ),
      )
      inputs = SpecifySPMModel.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_SpecifySPMModel_inputs() without return types