code: def distribute_over_product(
      def_act_var1,
      diff_def_act_var1,
      def_act_var2,
      diff_def_act_var2,
      mult_output,
  ):
      mult_var1 = mult_output * (def_act_var2 + 0.5 * diff_def_act_var2)
      mult_var2 = mult_output * (def_act_var1 + 0.5 * diff_def_act_var1)
      return (mult_var1, mult_var2)
  
file_path: deeplift/deeplift/layers/helper_functions.py
imports: import tensorflow
  from deeplift.util import NEAR_ZERO_THRESHOLD
label_desc: Use image node_id 7 for calling a global function with example usage: distribute_over_product(def_act_var1, diff_def_act_var1, def_act_var2, diff_def_act_var2, mult_output) and returns: mult_var1,  mult_var2