设计一个数据结构，存储班级中所有同学的本学期五门课程的成绩信息 ， 包含三个元素，分别是学号，姓名，成绩。 设计出该结构进行存储，为了简化，学号为1~100， 学号为1的同学姓名为 “A1”， 学号为30的同学姓名为”A30”，每个同学每门课程的成绩均为随机生成的一个60~100之间的随机数。 (1)当结构为dic = {1:[“A1”,[60,60,60,60,60 ]]}时，【不使用序列化方法】 ①把如上数据写入名字为score.txt的文件中。以字符串形式写入。 ②读出score.txt文件中的内容到内存中，并使用循环对读出的字典进行控制台输出。 (2)当结构为[ {1:{ “A1”:[ 60,60,60,60,60]} }, {2:{“A2”:[ 60,60,60,60,60]} }……] 【不使用序列化方法】 ①把如上数据写入名字为score.txt的文件中。以字符串形式写入。 ②读出score.txt文件中的内容到内存中，并使用循环对读出的内容进行控制台输出。 ③使用序列化的方法，分别把(1)和(2)的内容写入文件，然后再从文件中读出。

(1) 不使用序列化方法：

①写入文件：

import random

# 生成数据
data = {}
for i in range(1, 101):
    name = "A" + str(i)
    scores = [random.randint(60, 100) for _ in range(5)]
    data[i] = [name, scores]

# 写入文件
with open("score.txt", "w") as f:
    for key, value in data.items():
        line = str(key) + ":" + str(value[0]) + "," + ",".join(str(x) for x in value[1]) + "\n"
        f.write(line)

②读出文件：

# 读出文件
with open("score.txt", "r") as f:
    for line in f:
        line = line.strip()
        if line:
            parts = line.split(":")
            key = int(parts[0])
            value = parts[1].split(",")
            name = value[0]
            scores = [int(x) for x in value[1:]]
            print(key, name, scores)

(2) 不使用序列化方法：

①写入文件：

import random

# 生成数据
data = []
for i in range(1, 101):
    name = "A" + str(i)
    scores = [random.randint(60, 100) for _ in range(5)]
    item = {i: {name: scores}}
    data.append(item)

# 写入文件
with open("score.txt", "w") as f:
    for item in data:
        for key, value in item.items():
            line = str(key) + ":" + str(value) + "\n"
            f.write(line)

②读出文件：

# 读出文件
with open("score.txt", "r") as f:
    for line in f:
        line = line.strip()
        if line:
            parts = line.split(":")
            key = int(parts[0])
            value = eval(parts[1])
            name, scores = list(value.items())[0]
            print(key, name, scores)

③使用序列化方法：

import random
import pickle

# 生成数据
data1 = {}
for i in range(1, 101):
    name = "A" + str(i)
    scores = [random.randint(60, 100) for _ in range(5)]
    data1[i] = [name, scores]

data2 = []
for i in range(1, 101):
    name = "A" + str(i)
    scores = [random.randint(60, 100) for _ in range(5)]
    item = {i: {name: scores}}
    data2.append(item)

# 序列化并写入文件
with open("score1.bin", "wb") as f:
    pickle.dump(data1, f)

with open("score2.bin", "wb") as f:
    pickle.dump(data2, f)

# 读出并反序列化
with open("score1.bin", "rb") as f:
    data1 = pickle.load(f)
    for key, value in data1.items():
        print(key, value[0], value[1])

with open("score2.bin", "rb") as f:
    data2 = pickle.load(f)
    for item in data2:
        for key, value in item.items():
            name, scores = list(value.items())[0]
            print(key, name, scores)