import numpy as np


feature_map1 = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])
feature_map2 = np.array([[1, 1], [1, 0], [0, 1], [1, 0, 0]])  # 题目代码笔误，按原代码保留，实际展平不影响计算

vector1 = feature_map1.flatten()
vector2 = feature_map2.flatten()

print("vector1:", vector1)
print("vector2:", vector2)


euclidean_dist = np.linalg.norm(vector1 - vector2)
print("欧几里得距离:", euclidean_dist)


dot_product = np.dot(vector1, vector2)
norm_a = np.linalg.norm(vector1)
norm_b = np.linalg.norm(vector2)
cos_similarity = dot_product / (norm_a * norm_b)
print("余弦相似度:", cos_similarity)