code: def test_StimulusCorrelation_inputs():
      input_map = dict(
          concatenated_design=dict(
              mandatory=True,
          ),
          intensity_values=dict(
              mandatory=True,
          ),
          realignment_parameters=dict(
              mandatory=True,
          ),
          spm_mat_file=dict(
              extensions=None,
              mandatory=True,
          ),
      )
      inputs = StimulusCorrelation.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_StimulusCorrelation_inputs() without return types