public List <Factor <T> > Analyse <T>(FactorsTrendAnalyseDto <T> dto)
{
//预测的可能因子
var predictiveFactors = new List <Factor <T> >();
var factorTrend = new FactorTrend();
//分析每个因子
foreach (var factor in dto.Factors)
{
var analyseDto = new FactorTrendAnalyseDto <T>
{
Factor = factor,
Numbers = dto.Numbers,
AllowMinTimes = dto.AllowMinTimes,
AnalyseHistoricalTrendEndIndex = dto.AnalyseHistoricalTrendEndIndex,
AddConsecutiveTimes = dto.AddConsecutiveTimes,
AddInterval = dto.AddInterval
};
var predictiveFactor = factorTrend.Analyse(analyseDto);
if (predictiveFactor != null)
{
predictiveFactors.Add(factor);
}
}
return(predictiveFactors);
}
public void TestAnalyse_PredictiveFactors_Count_Great_Than_Zero()
{
var numbers = new List <byte> {
2, 3, 3, 1, 4, 3, 3, 3, 1, 3, 3, 3, 4, 3, 4, 3
};
/*
* 索引位置：0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
* 号码列表：2, 3, 3, 1, 4, 3, 3, 3, 1, 3, 3, 3 4 3 4
* 连续次数：0 1 2 0 1 2 3 4 0 1 2 3 4 5 6
* 最大间隔：0 -1 -2 0 1 0 -1 -2 0 3 2 1 0 -1 -2
*/
var factor = new Factor <byte> {
Left = new List <byte> {
3, 4
}, Right = new List <byte> {
1, 2
}
};
var dto = new FactorsTrendAnalyseDto <byte>
{
Factors = new List <Factor <byte> > {
factor
},
Numbers = numbers,
AnalyseHistoricalTrendEndIndex = 5
};
var predictiveFactors = new FactorsTrend().Analyse(dto);
Assert.IsTrue(predictiveFactors.Count == 1);
}
public void TestMethod_Analyse_Five_Digit_By_Random()
{
var numbers = GetTestNumbers(0, 5, 100000);
//因子
var factors = FactorGenerator.Create(new List <byte> {
0, 1, 2, 3, 4
}.ToList());
var watch = new Stopwatch();
watch.Start();
var resultString = new StringBuilder();
var hasCount = 0;
var resultCount = 0;
var defaultTakeCount = 101;
var curTakeCount = defaultTakeCount;
for (var i = 0; i < 2500; i++)
{
var number = numbers[i];
var curNumbers = numbers.Skip(i + 1).Take(curTakeCount).ToList();
curNumbers.Reverse();
var dto = new FactorsTrendAnalyseDto <byte>
{
AddConsecutiveTimes = 2,
AddInterval = 1,
Numbers = curNumbers,
AnalyseHistoricalTrendEndIndex = 100,
Factors = factors
};
//var dto = new MarkSixAnalyseSpecifiedLocationDto { Location = 7, StartTimes = records[i].StartTimes, TensAllowMinFactorCurrentConsecutiveTimes = 6, TensAllowMaxInterval = -1, TensAroundCount = 200, TensNumbersTailCutCount = 6 };
var result = TestAnalyse(dto);
var success = false;
if (result.Count > 0)
{
resultCount++;
if (result.Contains(number))
{
success = true;
}
}
if (success)
{
hasCount++;
resultString.AppendLine("期次：" + i + ",号码：" + number + ",分析结果：" + (success ? "-Yes- " : " ") + string.Join(";", result));
curTakeCount = defaultTakeCount;
}
else
{
curTakeCount++;
}
}
watch.Stop();
var usedSeconds = watch.ElapsedMilliseconds / 1000;
var str = resultString.ToString();
}
private List <byte> TestAnalyse(FactorsTrendAnalyseDto <byte> dto)
{
var factorHistoricalTrend = new FactorsTrend();
var predictiveFactors = factorHistoricalTrend.Analyse(new FactorsTrendAnalyseDto <byte>
{
Numbers = dto.Numbers,
Factors = dto.Factors,
AddConsecutiveTimes = dto.AddConsecutiveTimes,
AddInterval = dto.AddInterval,
AnalyseHistoricalTrendEndIndex = dto.AnalyseHistoricalTrendEndIndex
});
if (predictiveFactors.Count > 0)
{
var onesFactor = new List <byte>(predictiveFactors[0].Right);
onesFactor = predictiveFactors.Aggregate(onesFactor, (current, factor) => current.Intersect(factor.Right).ToList());
return(onesFactor);
}
return(new List <byte>());
}
