code: def test_TCorrMap_outputs():
      output_map = dict(
          absolute_threshold=dict(
              extensions=None,
          ),
          average_expr=dict(
              extensions=None,
          ),
          average_expr_nonzero=dict(
              extensions=None,
          ),
          correlation_maps=dict(
              extensions=None,
          ),
          correlation_maps_masked=dict(
              extensions=None,
          ),
          histogram=dict(
              extensions=None,
          ),
          mean_file=dict(
              extensions=None,
          ),
          pmean=dict(
              extensions=None,
          ),
          qmean=dict(
              extensions=None,
          ),
          sum_expr=dict(
              extensions=None,
          ),
          var_absolute_threshold=dict(
              extensions=None,
          ),
          var_absolute_threshold_normalize=dict(
              extensions=None,
          ),
          zmean=dict(
              extensions=None,
          ),
      )
      outputs = TCorrMap.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_TCorrMap_outputs() without return types