code: def human_and_01(X, y, model_generator, method_name):
      
      return _human_and(X, model_generator, method_name, False, True)
docs: AND (false/true)
  
      This tests how well a feature attribution method agrees with human intuition
      for an AND operation combined with linear effects. 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
      if fever and cough: +6 points
  
      transform = "identity"
      sort_order = 1