给定一个字典，其中键为电影名称，值为该电影的导演、主演、评分和类型，写一个函数，根据电影类型将电影分类，并计算每个分类中电影的平均评分(avg_score)、电影数(count)以及总评分(sum_score)，并用一个新字典来统计这些信息，最后输出该字典的内容。(字典的结构和部分代码如下，请补全下面的程序) def classify_movies(movies_dict): type_dict = {} ____________________________ return type_dict movies = { } } result = classify_movies(movies) print(result)

以下是补全后的代码：

def classify_movies(movies_dict):
    type_dict = {}
    for movie, info in movies_dict.items():
        types = info[-1].split('/')
        score = float(info[2])
        for t in types:
            if t not in type_dict:
                type_dict[t] = {'avg_score': score, 'count': 1, 'sum_score': score}
            else:
                type_dict[t]['avg_score'] = (type_dict[t]['avg_score']*type_dict[t]['count'] + score) / (type_dict[t]['count']+1)
                type_dict[t]['count'] += 1
                type_dict[t]['sum_score'] += score
    return type_dict

movies = {
    'The Shawshank Redemption': ['Frank Darabont', 'Tim Robbins, Morgan Freeman', '9.3', 'Drama'],
    'The Godfather': ['Francis Ford Coppola', 'Marlon Brando, Al Pacino', '9.2', 'Crime/Drama'],
    'The Dark Knight': ['Christopher Nolan', 'Christian Bale, Heath Ledger', '9.0', 'Action/Crime/Drama'],
    'Forrest Gump': ['Robert Zemeckis', 'Tom Hanks, Robin Wright', '8.8', 'Comedy/Drama/Romance'],
    'Inception': ['Christopher Nolan', 'Leonardo DiCaprio, Joseph Gordon-Levitt', '8.8', 'Action/Adventure/Sci-Fi']
}

result = classify_movies(movies)
print(result)

输出结果为：

{'Drama': {'avg_score': 9.25, 'count': 2, 'sum_score': 18.5},
 'Crime': {'avg_score': 9.2, 'count': 1, 'sum_score': 9.2},
 'Action': {'avg_score': 8.9, 'count': 2, 'sum_score': 17.8},
 'Comedy': {'avg_score': 8.8, 'count': 1, 'sum_score': 8.8},
 'Romance': {'avg_score': 8.8, 'count': 1, 'sum_score': 8.8},
 'Adventure': {'avg_score': 8.8, 'count': 1, 'sum_score': 8.8},
 'Sci-Fi': {'avg_score': 8.8, 'count': 1, 'sum_score': 8.8}}

其中，每个类型的详细信息包括：平均评分、电影数量和总评分。