有没有快速计算两个数据集之间的Bray距离的方法？

from scipy.spatial import distance

# 定义两个数据集
dataset1 = [1, 2, 3, 4, 5]
dataset2 = [2, 4, 6, 8, 10]

# 计算Bray距离
bray_distance = distance.braycurtis(dataset1, dataset2)

print("Bray距离:", bray_distance)

def bray_distance(dataset1, dataset2):
    numerator = sum(abs(x - y) for x, y in zip(dataset1, dataset2))
    denominator = sum(abs(x + y) for x, y in zip(dataset1, dataset2))
    bray_distance = numerator / denominator
    return bray_distance

# 定义两个数据集
dataset1 = [1, 2, 3, 4, 5]
dataset2 = [2, 4, 6, 8, 10]

# 计算Bray距离
bray_distance = bray_distance(dataset1, dataset2)

print("Bray距离:", bray_distance)