根据用户的好友和用户名在不同数据集中查找相同的用户

# 假设我们有两个数据集，每个数据集是一个字典列表，包含用户名和好友列表
dataset1 = [
    {"username": "userA", "friends": ["friend1", "friend2"]},
    {"username": "userB", "friends": ["friend3"]}
]

dataset2 = [
    {"username": "userA", "friends": ["friend2", "friend1"]},
    {"username": "userC", "friends": ["friend4"]}
]

# 创建一个字典来存储第一个数据集中的用户名和对应的索引
username_to_index = {user["username"]: i for i, user in enumerate(dataset1)}

# 查找相同用户名的用户
matching_users = []
for user in dataset2:
    if user["username"] in username_to_index:
        matching_users.append((user, dataset1[username_to_index[user["username"]]]))

# 输出匹配的用户
for match in matching_users:
    print(f"Matched users: {match[0]['username']} and {match[1]['username']}")