import numpy as np

feature_map1 = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])
feature_map2 = np.array([[1, 1, 1], [1, 0, 0], [1, 0, 0]])

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

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

euclidean_distance = np.linalg.norm(vector1 - vector2)
print(f"欧几里得距离: {euclidean_distance:.4f}")

dot_product = np.dot(vector1, vector2)
norm1 = np.linalg.norm(vector1)
norm2 = np.linalg.norm(vector2)
cosine_similarity = dot_product / (norm1 * norm2)
print(f"余弦相似度: {cosine_similarity:.4f}")

cosine_distance = 1 - cosine_similarity
print(f"余弦距离: {cosine_distance:.4f}")