import numpy as np
from scipy.stats import wasserstein_distance

def calculate_emd(vector1, vector2):
    vec1 = np.array(vector1)
    vec2 = np.array(vector2)
    
    positions = np.arange(len(vec1))
    emd = wasserstein_distance(positions, positions, vec1, vec2)
    
    total_weight = np.sum(vec1)  # 权重和
    emd = emd * total_weight
    
    return emd

def main():
    # input_str = input().strip()
    line1 = input("输入第一行：").strip()
    line2 = input("输入第二行：").strip()

    vector1 = list(map(float, line1.split()))
    vector2 = list(map(float, line2.split()))

    # 计算EMD距离
    emd_value = calculate_emd(vector1, vector2)

    print(int(round(emd_value)))

if __name__ == '__main__':
    main()