题解 | 计算向量之间的余弦相似度

import numpy as np

def cosine_similarity(v1, v2):
	# Implement your code here
    dot=np.dot(np.array(v1),np.array(v2))
    val=dot/(np.linalg.norm(np.array(v1))*np.linalg.norm(np.array(v2)))
    return round(val, 3)


if __name__ == "__main__":
    v1 = np.array(eval(input()))
    v2 = np.array(eval(input()))
    print(cosine_similarity(v1, v2))