📖 答案解析 — 数字守艺人（非遗文化） — 中等

# 预设方剂数据
prescriptions = {
    "四物汤": ["当归", "川芎", "白芍", "熟地黄"],
    "四君子汤": ["人参", "白术", "茯苓", "甘草"],
    "麻黄汤": ["麻黄", "桂枝", "杏仁", "甘草"],
    "桂枝汤": ["桂枝", "白芍", "生姜", "大枣", "甘草"]
}
# 读取输入
name = input().strip()
# 查找并输出
if name in prescriptions:
    herbs = prescriptions[name]
    print(f"{name}的组成：{' '.join(herbs)}")
    print(f"共{len(herbs)}种药材")
else:
    print("未找到该方剂")

try:
    with open("shadow_play.txt", "r", encoding="utf-8") as f:
        lines = f.readlines()
    count = 0
    total_time = 0
    longest_name = ""
    longest_time = 0
    for line in lines:
        line = line.strip()
        if line:  # 跳过空行
            parts = line.split()
            name = parts[0]
            time = int(parts[1])
            count += 1
            total_time += time
            if time > longest_time:
                longest_time = time
                longest_name = name
    if count > 0:
        print(f"剧目总数：{count}")
        print(f"总时长：{total_time}分钟")
        print(f"最长剧目：{longest_name} {longest_time}分钟")
    else:
        print("文件中无数据")
except FileNotFoundError:
    print("文件未找到，请确认shadow_play.txt存在")

n = int(input())
for i in range(n):
    row = ""
    for j in range(n):
        # 主对角线（左上→右下）或副对角线（右上→左下）
        if i == j or i + j == n - 1:
            row += "X"
        else:
            row += "O"
    print(row)

try:
    # 从文件读取温度数据
    with open("kiln_log.txt", "r", encoding="utf-8") as f:
        data = []
        for line in f:
            line = line.strip()
            if line:
                data.append(int(line))
    # 统计低温、正常、高温时数
    low = 0
    normal = 0
    high = 0
    for t in data:
        if t < 800:
            low += 1
        elif t > 1200:
            high += 1
        else:
            normal += 1
    print(f"低温：{low} 正常：{normal} 高温：{high}")
    # 查找所有异常段（温度不在[800, 1200]范围内）
    seg_id = 0
    i = 0
    while i < len(data):
        # 判断当前小时是否为异常温度
        if data[i] < 800 or data[i] > 1200:
            seg_id += 1
            start = i + 1  # 起始编号（从1开始）
            total = 0
            count = 0
            # 收集连续的异常段
            while i < len(data) and (data[i] < 800 or data[i] > 1200):
                total += data[i]
                count += 1
                i += 1
            end = i  # 结束编号（i已指向异常段后的第一个正常位置）
            avg = total / count
            print(f"异常段{seg_id}：{start}-{end} 平均{avg:.1f}")
        else:
            i += 1
except FileNotFoundError:
    print("文件未找到")