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 = [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]
ecosystem_conversion = [commitment, evidence, time_bound_targets, high_risk_commodities, sourcing_disclosure, coversion_free_supply_chain, minimization_commitment, minimization_evidence, minimization_system_disclosure, minimization_targets_disclosure]
redistributed_weights(weights, ecosystem_conversion)

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