摘要：import randomimport numpy as npfrom datetime import datetime, timedelta # 修复：添加 timedelta 导入from collections import Counter# 数据源（基
今天江东旭侯给大家带来最后一期的Python代码：大乐透冷热温号码随机
本套代码根据大乐透三套不同的号码组来统计，#不同的 数据源（本期基于2025年3月最新统计分析）FRONT_DATA = { 'set1未第一套数据': { 'hot': [6, 31, 5, 17, 16, 7, 29, 25, 20, 34, 8, 14, 18, 12, 2], 'warm': [13, 24, 22, 28, 10, 1, 27, 33, 3, 9], 'cold': [4, 11, 19, 21, 23, 26, 30, 32, 35], 'last_seen': {'4': 45, '11': 38, '19': 33} # 冷号未出现天数接着我们统计第二套，第三套
然后统计后区数据BACK_DATA = { 'set1': {'hot': [1, 3, 7], 'normal': [2, 8, 11]}, 'set2': {'hot': [3, 5, 9], 'normal': [4, 7, 10]}, 'set3': {'hot': [2, 7, 10], 'normal': [4, 8, 12]}在根据号码冷热程度来分配权重 for s in sets: data = FRONT_DATA[s] # 热号基础权重 for num in data['hot']: pool['numbers'].append(num) pool['weights'].append(0.6 + 0.1 * data['hot'].index(num) / 14)最后综合重新组合 def generate(self): """生成一组验证通过的号码""" for _ in range(100): # 最大尝试次数 # 前区生成 front = sorted(self._quantum_choice( self.front_pool['numbers'], self.front_pool['weights'], 5 ))大乐透1
大乐透2
大乐透3
完整代码如下：
import randomimport numpy as npfrom datetime import datetime, timedelta # 修复：添加 timedelta 导入from collections import Counter# 数据源（基于2025年3月最新统计分析）FRONT_DATA = { 'set1': { 'hot': [6, 31, 5, 17, 16, 7, 29, 25, 20, 34, 8, 14, 18, 12, 2], 'warm': [13, 24, 22, 28, 10, 1, 27, 33, 3, 9], 'cold': [4, 11, 19, 21, 23, 26, 30, 32, 35], 'last_seen': {'4': 45, '11': 38, '19': 33} # 冷号未出现天数 }, 'set2': { 'hot': [3, 5, 21, 12, 19, 10, 22, 7, 8, 31, 20, 9, 33, 23, 24], 'warm': [26, 29, 30, 15, 35, 32, 25, 14, 6, 1], 'cold': [4, 11, 13, 16, 17, 18, 27, 28, 34], 'last_seen': {'13': 41, '16': 37, '17': 29} }, 'set3': { 'hot': [11, 28, 10, 8, 30, 21, 17, 3, 26, 22, 16, 6, 27, 15, 12], 'warm': [7, 34, 5, 18, 20, 4, 9, 33, 2, 25], 'cold': [1, 13, 14, 19, 23, 24, 29, 31, 32, 35], 'last_seen': {'14': 40, '19': 36, '23': 32} }}BACK_DATA = { 'set1': {'hot': [1, 3, 7], 'normal': [2, 8, 11]}, 'set2': {'hot': [3, 5, 9], 'normal': [4, 7, 10]}, 'set3': {'hot': [2, 7, 10], 'normal': [4, 8, 12]}}class QuantumEnhancedGenerator: def __init__(self, front_sets, back_sets): """ 初始化量子增强生成器 :param front_sets: 前区配置组合（例：['set1','set2']） :param back_sets: 后区配置组合 """ self.front_pool = self._build_front_pool(front_sets) self.back_pool = self._build_back_pool(back_sets) self.history = set def _build_front_pool(self, sets): """构建带时间衰减权重的前区选号池""" pool = {'numbers': , 'weights': } current_date = datetime(2025, 3, 24) for s in sets: data = FRONT_DATA[s] # 热号基础权重 for num in data['hot']: pool['numbers'].append(num) pool['weights'].append(0.6 + 0.1 * data['hot'].index(num) / 14) # 温号时间衰减 for num in data['warm']: pool['numbers'].append(num) last_seen_days = data['last_seen'].get(str(num), 30) days_missing = (current_date - datetime(2025, 3, 24) + timedelta(days=last_seen_days)).days decay = np.exp(-days_missing / 30) pool['weights'].append(0.3 * decay) # 冷号激活因子 for num in data['cold']: pool['numbers'].append(num) last_seen_days = data['last_seen'].get(str(num), 50) days_missing = (current_date - datetime(2025, 3, 24) + timedelta(days=last_seen_days)).days pool['weights'].append(0.1 * (1 + days_missing // 10)) return pool def _build_back_pool(self, sets): """构建后区量子扰动选号池""" merged = for s in sets: merged += BACK_DATA[s]['hot'] * 3 # 热门号码3倍权重 merged += BACK_DATA[s]['normal'] counter = Counter(merged) return { 'numbers': list(counter.keys), 'weights': [count ** 1.5 for count in counter.values] } def _quantum_choice(self, population, weights, k): """量子增强型选择算法""" # 量子噪声注入 q_noise = np.random.normal(loc=0, scale=0.1, size=len(weights)) adj_weights = np.maximum(0, np.array(weights) + q_noise) adj_weights /= adj_weights.sum return np.random.choice( population, size=k, p=adj_weights, replace=False ) def generate(self): """生成一组验证通过的号码""" for _ in range(100): # 最大尝试次数 # 前区生成 front = sorted(self._quantum_choice( self.front_pool['numbers'], self.front_pool['weights'], 5 )) # 后区生成 back = sorted(self._quantum_choice( self.back_pool['numbers'], self.back_pool['weights'], 2 )) # 验证条件 if self._validate(front, back): key = tuple(front) + tuple(back) if key not in self.history: self.history.add(key) return (front, back) return self.generate # 递归保底 def _validate(self, front, back): """智能验证机制""" # 冷号检测（至少1个） cold_set = set for s in FRONT_DATA.values: cold_set.update(s['cold']) if len(set(front) & cold_set)来源：江东旭侯一点号
