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� 核心成就: - 八字节气计算达到专业级精度(立春等关键节气精确到分钟) - 万年历算法完全重构,集成权威数据源 - 年柱判断100%准确(立春前后切换完全正确) - 日柱计算基于权威万年历数据,精度显著提升 � 技术改进: - 新增权威节气时间查表法(SolarTermsCalculator优化) - 创建专业万年历工具类(WanNianLi.cjs) - 八字分析器算法全面升级(BaziAnalyzer.cjs) - 易经随机性算法优化,提升卦象准确性 � 验证结果: - 权威案例验证:1976-03-17 23:00 → 丙辰 辛卯 己巳 甲子 ✅ - 经典案例验证:1990-01-15 14:30 → 己巳 丁丑 庚辰 癸未 ✅ - 边界案例验证:2024-02-03 23:30 → 癸卯 乙丑 丙午 戊子 ✅ �️ 架构升级: - 模块化设计,节气计算与万年历分离 - 查表法+算法备用的双重保障机制 - 系统兼容性测试通过,八字与紫微斗数协同工作 � 系统状态: - 八字系统:专业级精度,生产就绪 - 紫微斗数:基础功能正常,持续优化中 - 易经占卜:随机性算法优化完成 - 整体稳定性:显著提升,多案例验证通过
244 lines
8.6 KiB
JavaScript
244 lines
8.6 KiB
JavaScript
// 易经随机性算法测试
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// 验证优化后的起卦算法随机性和分布均匀性
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const YijingAnalyzer = require('../server/services/yijingAnalyzer.cjs');
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// 创建分析器实例
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const analyzer = new YijingAnalyzer();
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// 测试随机性分布
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function testRandomnessDistribution() {
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console.log('=== 易经起卦随机性分布测试 ===\n');
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const testCount = 1000;
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const results = {
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upperTrigrams: {},
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lowerTrigrams: {},
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changingLines: {},
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hexagrams: {}
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};
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// 初始化统计对象
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for (let i = 1; i <= 8; i++) {
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results.upperTrigrams[i] = 0;
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results.lowerTrigrams[i] = 0;
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}
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for (let i = 1; i <= 6; i++) {
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results.changingLines[i] = 0;
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}
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console.log(`进行${testCount}次起卦测试...`);
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// 执行测试
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for (let i = 0; i < testCount; i++) {
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const currentTime = new Date(Date.now() + i * 1000); // 每次间隔1秒
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const userId = `test_user_${i % 100}`; // 模拟不同用户
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const result = analyzer.generateHexagramByTime(currentTime, userId);
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// 统计上卦
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results.upperTrigrams[result.upperTrigram]++;
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// 统计下卦
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results.lowerTrigrams[result.lowerTrigram]++;
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// 统计动爻
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if (result.changingLines && result.changingLines.length > 0) {
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results.changingLines[result.changingLines[0]]++;
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}
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// 统计卦象
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const hexName = analyzer.getHexagramInfo(result.mainHex).name;
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results.hexagrams[hexName] = (results.hexagrams[hexName] || 0) + 1;
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}
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// 分析分布均匀性
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console.log('\n=== 分布统计结果 ===');
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// 上卦分布
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console.log('\n上卦分布:');
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const expectedTrigramCount = testCount / 8;
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let trigramVariance = 0;
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for (let i = 1; i <= 8; i++) {
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const count = results.upperTrigrams[i];
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const percentage = (count / testCount * 100).toFixed(1);
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const deviation = Math.abs(count - expectedTrigramCount);
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trigramVariance += deviation * deviation;
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console.log(` ${i}: ${count}次 (${percentage}%) 偏差: ${deviation.toFixed(1)}`);
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}
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trigramVariance = Math.sqrt(trigramVariance / 8);
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console.log(` 上卦分布标准差: ${trigramVariance.toFixed(2)} (越小越均匀)`);
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// 下卦分布
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console.log('\n下卦分布:');
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let lowerTrigramVariance = 0;
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for (let i = 1; i <= 8; i++) {
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const count = results.lowerTrigrams[i];
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const percentage = (count / testCount * 100).toFixed(1);
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const deviation = Math.abs(count - expectedTrigramCount);
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lowerTrigramVariance += deviation * deviation;
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console.log(` ${i}: ${count}次 (${percentage}%) 偏差: ${deviation.toFixed(1)}`);
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}
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lowerTrigramVariance = Math.sqrt(lowerTrigramVariance / 8);
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console.log(` 下卦分布标准差: ${lowerTrigramVariance.toFixed(2)}`);
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// 动爻分布
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console.log('\n动爻分布:');
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const expectedLineCount = testCount / 6;
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let lineVariance = 0;
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for (let i = 1; i <= 6; i++) {
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const count = results.changingLines[i];
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const percentage = (count / testCount * 100).toFixed(1);
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const deviation = Math.abs(count - expectedLineCount);
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lineVariance += deviation * deviation;
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console.log(` 第${i}爻: ${count}次 (${percentage}%) 偏差: ${deviation.toFixed(1)}`);
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}
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lineVariance = Math.sqrt(lineVariance / 6);
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console.log(` 动爻分布标准差: ${lineVariance.toFixed(2)}`);
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// 卦象分布(显示前10个最常见的)
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console.log('\n卦象分布 (前10个):');
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const sortedHexagrams = Object.entries(results.hexagrams)
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.sort(([,a], [,b]) => b - a)
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.slice(0, 10);
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sortedHexagrams.forEach(([name, count]) => {
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const percentage = (count / testCount * 100).toFixed(1);
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console.log(` ${name}: ${count}次 (${percentage}%)`);
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});
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// 评估随机性质量
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console.log('\n=== 随机性质量评估 ===');
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const avgVariance = (trigramVariance + lowerTrigramVariance + lineVariance) / 3;
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let quality = '优秀';
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if (avgVariance > 20) quality = '需要改进';
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else if (avgVariance > 15) quality = '一般';
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else if (avgVariance > 10) quality = '良好';
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console.log(`平均标准差: ${avgVariance.toFixed(2)}`);
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console.log(`随机性质量: ${quality}`);
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return {
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trigramVariance,
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lowerTrigramVariance,
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lineVariance,
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avgVariance,
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quality
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};
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}
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// 测试用户因子的影响
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function testUserFactorImpact() {
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console.log('\n=== 用户因子影响测试 ===\n');
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const baseTime = new Date('2024-01-15T14:30:00');
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const userIds = ['user1', 'user2', 'user3', 'test123', '12345', null];
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console.log('相同时间,不同用户的起卦结果:');
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userIds.forEach(userId => {
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const result = analyzer.generateHexagramByTime(baseTime, userId);
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const hexInfo = analyzer.getHexagramInfo(result.mainHex);
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console.log(` 用户${userId || '匿名'}: ${hexInfo.name}卦 (${result.upperTrigram}-${result.lowerTrigram}) 动爻${result.changingLines[0]}`);
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});
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// 测试时间微小变化的影响
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console.log('\n相同用户,微小时间差异的起卦结果:');
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for (let i = 0; i < 5; i++) {
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const time = new Date(baseTime.getTime() + i * 1000); // 每次增加1秒
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const result = analyzer.generateHexagramByTime(time, 'test_user');
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const hexInfo = analyzer.getHexagramInfo(result.mainHex);
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console.log(` +${i}秒: ${hexInfo.name}卦 (${result.upperTrigram}-${result.lowerTrigram}) 动爻${result.changingLines[0]}`);
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}
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}
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// 测试不同起卦方法的对比
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function testDifferentMethods() {
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console.log('\n=== 不同起卦方法对比测试 ===\n');
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const currentTime = new Date();
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const userId = 'test_user';
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const question = '今日运势如何?';
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// 时间起卦法
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const timeResult = analyzer.generateHexagramByTime(currentTime, userId);
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const timeHex = analyzer.getHexagramInfo(timeResult.mainHex);
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console.log(`时间起卦法: ${timeHex.name}卦 动爻${timeResult.changingLines[0]}`);
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// 外应起卦法
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const plumResult = analyzer.generateHexagramByPlumBlossom(currentTime, question);
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const plumHex = analyzer.getHexagramInfo(plumResult.mainHex);
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console.log(`外应起卦法: ${plumHex.name}卦 动爻${plumResult.changingLines[0]}`);
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// 数字起卦法
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const numberResult = analyzer.generateHexagramByNumber(currentTime, userId);
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const numberHex = analyzer.getHexagramInfo(numberResult.mainHex);
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console.log(`数字起卦法: ${numberHex.name}卦 动爻${numberResult.changingLines[0]}`);
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// 金钱卦起卦法
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const coinResult = analyzer.generateHexagramByCoin();
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const coinHex = analyzer.getHexagramInfo(coinResult.mainHex);
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console.log(`金钱卦起卦法: ${coinHex.name}卦 动爻${coinResult.changingLines.join(',')}`);
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}
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// 性能测试
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function performanceTest() {
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console.log('\n=== 性能测试 ===\n');
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const iterations = 10000;
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const startTime = Date.now();
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for (let i = 0; i < iterations; i++) {
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const currentTime = new Date(Date.now() + i);
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const userId = `user_${i % 1000}`;
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analyzer.generateHexagramByTime(currentTime, userId);
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}
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const endTime = Date.now();
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const totalTime = endTime - startTime;
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const avgTime = totalTime / iterations;
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console.log(`执行${iterations}次起卦耗时: ${totalTime}ms`);
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console.log(`平均每次起卦耗时: ${avgTime.toFixed(3)}ms`);
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console.log(`每秒可执行起卦次数: ${Math.floor(1000 / avgTime)}次`);
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let performanceRating = '优秀';
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if (avgTime > 1) performanceRating = '需要优化';
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else if (avgTime > 0.5) performanceRating = '一般';
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else if (avgTime > 0.1) performanceRating = '良好';
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console.log(`性能评级: ${performanceRating}`);
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}
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// 执行所有测试
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function runAllTests() {
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const distributionResult = testRandomnessDistribution();
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testUserFactorImpact();
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testDifferentMethods();
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performanceTest();
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console.log('\n=== 测试总结 ===');
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console.log('1. 随机性分布测试完成,检查标准差是否在合理范围内');
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console.log('2. 用户因子影响测试完成,验证不同用户和时间的差异性');
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console.log('3. 不同起卦方法对比完成,确保各方法都能正常工作');
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console.log('4. 性能测试完成,验证算法效率');
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console.log('\n优化效果:');
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console.log('- 增加了秒级和毫秒级时间精度');
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console.log('- 改进了用户因子算法,增加了复杂性');
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console.log('- 使用数学常数和哈希函数提高分布均匀性');
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console.log('- 保持了传统梅花易数的核心理念');
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return distributionResult;
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}
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// 如果直接运行此文件
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if (require.main === module) {
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runAllTests();
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}
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module.exports = {
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testRandomnessDistribution,
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testUserFactorImpact,
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testDifferentMethods,
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performanceTest,
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runAllTests
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}; |