score = (x) -> if x == "Yes" 10 else if x == "Partially" 5 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, 0.2, 0.1, 0.2, 0.2, 0.2] resource_exploitation = [evidence, input_disclosure, organism_exploitation, management_plan,reporting, decoupling_finance_and_consumption] redistributed_weights(weights, resource_exploitation) weights.reduce((weighted_sum, weight, index) -> weighted_sum + weight*score(resource_exploitation[index]) , 0)