code: def human_sum_00(X, y, model_generator, method_name):
      
      return _human_sum(X, model_generator, method_name, False, False)
docs: SUM (false/false)
  
      This tests how well a feature attribution method agrees with human intuition
      for a SUM operation. This metric deals
      specifically with the question of credit allocation for the following function
      when all three inputs are true:
      if fever: +2 points
      if cough: +2 points
  
      transform = "identity"
      sort_order = 0