from matplotlib import pyplot as plt





def mutation_weight_comparision(w_weighted, w_q, operator, framework):



    plt.title("weight comparision for {0} by {1}".format(operator, framework))

    plt.xlabel("mutation(s)")

    plt.ylabel("weight(s)")



    x = [x for x in range(42)]

    w1_total = sum(w_weighted)

    w_weighted_pro = [x / w1_total for x in w_weighted]

    plt.plot(x, w_weighted_pro, 'b')

    plt.plot(x, w_q, 'g')



    plt.show()



def mutation_weight_comparision_with_relation(w_weighted, w_q_1, w_q_2, operator, framework):



    plt.title("weight comparision with relation for {0} by {1}".format(operator, framework))

    plt.xlabel("mutation(s)")

    plt.ylabel("weight(s)")



    x = [x for x in range(42)]

    w1_total = sum(w_weighted)

    w_weighted_pro = [x / w1_total for x in w_weighted]

    plt.plot(x, w_weighted_pro, 'b')

    plt.plot(x, w_q_1, 'g')

    plt.plot(x, w_q_2, 'y')



    plt.show()





def weight_convert(w, num):

    w_ = [x * num for x in w]

    w_sum = sum(w_)

    print([x / w_sum for x in w_])





if __name__ == '__main__':

    operator = ''

    framework = ''

    w1 = []

    w2 = []

    w3 = []

    mutation_weight_comparision_with_relation(w1, w2, w3, operator, framework)