import itertools
# 需要用户提供真实的历史数据（替换示例数据）
history = [
'444','523','195','216','404',
'347','701','143','841','831','324','801','395','436','812',
'274','681','088','623','134','886','859','465','905','285',
'034','347','156','945','810','006','004','340','030','044',
'701','552','898','037','680','581','933','877','398','201',
'425','841','508','582','843','483','718','533','413','471',
'080','071','332','355','243','793','863','050','678','914',
'630','023','257','134','125','147','811','712','679','848',
'746','499','249','172','155','918','031','653','084','481',
'546','620','677','893','192','907','220','788','691','123',
'900','168','351','617','656','362','128','806','143','027',
'471','978','508','398','963','956','292','734','159','346',
'484','788','228','677','346','048','822','489','297','513',
'392','934','309','849','521','578','366','588','875','916',
'675','552','805','702','372','806','570','037','570','973',
'337','899','384','916','716','765','672','771','793','490',
'257','466','656','990','184','671','975','934','771','462',
'935','132','179','743','407','425','113','296','738','766',
'344','593','304','353','634','845','222','208','993','830',
'721','432','534','672','948','171','192','174','997','911',
'233','471','144','084','076','726',
] # 确保包含200期数据
# 初始化三维转移矩阵
transfer = [[[0]*10 for _ in range(10)] for _ in range(3)]
# 构建转移概率矩阵
for i in range(len(history)-1):
current = history[i]
next_num = history[i+1]
for pos in range(3):
current_digit = int(current[pos])
next_digit = int(next_num[pos])
transfer[pos][current_digit][next_digit] += 1
def get_top_digits(pos, last_digit):
"""获取指定位置推荐数字"""
frequency = transfer[pos][last_digit]
sorted_digits = sorted(enumerate(frequency), key=lambda x: (-x[1], -x[0]))
# 选择前四个有效数字
candidates = [d for d, cnt in sorted_digits if cnt > 0][:6]
# 不足时补充全局高频数字
if len(candidates) < 6:
global_freq = [sum(transfer[pos][d][n] for n in range(10)) for d in range(10)]
backup = sorted(enumerate(global_freq), key=lambda x: -x[1])[:6]
candidates += [d for d, _ in backup if d not in candidates]
return candidates[:6]
# 获取最新一期开奖号码（示例）
last_number = history[-1]
print(f"最新一期开奖号码：{last_number}")
# 生成推荐数字
positions = [
(0, int(last_number[0])), # 百位
(1, int(last_number[1])), # 十位
(2, int(last_number[2])) # 个位
]
recommend = []
for pos, digit in positions:
recommend.append(get_top_digits(pos, digit))
# 生成所有组合
combinations = list(itertools.product(*recommend))
# 打印结果
print("\n推荐投注组合（216注）：")
for i, combo in enumerate(combinations):
print(f"{combo[0]}{combo[1]}{combo[2]}", end=' ')
if (i+1) % 20 == 0: # 每行显示16个号码
print()
# 风险提示
print("\n重要提示：本分析结果仅供参考，彩票具有随机性，请理性投注！")
