score = (x) -> 
  if x == "Yes"
    10
  else
    0
    
redistributed_weights = (weights, values) ->
  num_of_weighted_values = weights.length  
  for value, index in values
    if value == "Not Applicable"
      num_of_weighted_values -= 1
      redistributed_weight_value = weights[index]
      for weight, i in weights
        if weight == 0
          continue
        weights[i] = weight + redistributed_weight_value/num_of_weighted_values
      weights[index] = 0
  weights
  
weights = (1/6 for i in [0...6])
water_withdrawal = [reduction_disclosure, reduction_target, water_stressed_area_dependency, withdrawal_from_water_stressed_areas, reduction_engagement, water_stressed_area_dependency_in_supply_chain]
redistributed_weights(weights, water_withdrawal)

weights.reduce((weighted_sum, weight, index) -> 
              weighted_sum + weight*score(water_withdrawal[index])
             , 0)