// 反射的经典实现，变量的反复抽象，把变化部分减少到最小，增强稳定部分，有利于扩展
private List<MatchPoint<float>> ployfitSeries(List<MatchPoint<int>> result, int LastNowDiff)
{
List<MatchPoint<float>> fitseries = new List<MatchPoint<float>>();
//在此反射数据系列，计算需要拟合的成员，由于输入和输出的数据类型不同，使用泛型<>，T
PropertyInfo[] field = typeof(MatchPoint<>).GetProperties();
int size = result.Count();
var fisfilter = field.Where(e => e.Name == "LastMatchWDL" || e.Name == "LastMatchGoals" || e.Name == "LastMatchOddEven");
foreach (PropertyInfo fi in fisfilter)
{
double[] Y = new double[size];
double[] X = new double[size];
double[] X1 = new double[size];
for (int i = 0; i < size; i++)
{
//在此指定<>类型是整数
PropertyInfo fiIn = typeof(MatchPoint<int>).GetProperty(fi.Name);
//反射获取值
Y[i] = Convert.ToDouble(fiIn.GetValue(result[i], null));
X[i] = Convert.ToDouble(result[i].LastMatchOverTime);
if (i != size - 1)
X1[i] = Convert.ToDouble(result[i + 1].LastMatchOverTime);
else
X1[i] = Convert.ToDouble(LastNowDiff);
MatchPoint<float> f = new MatchPoint<float>();
f.LastMatchOverTime = (float)X1[i];
if (fitseries.Count == i) fitseries.Add(f); //如果累加就不行，这种方式，最大值不超过i
}
myCurveFitclass mmm = new myCurveFitclass(X, Y);
mmm.CurvefitValue(LastNowDiff);
//在此指定<>类型是小数
PropertyInfo fiOut = typeof(MatchPoint<float>).GetProperty(fi.Name); //这里改属性
//反射设定值
for (int j = 0; j < mmm.PredictionsNew.Length; j++) { fiOut.SetValue(fitseries[j], (float)mmm.PredictionsNew[j], null); }
}
return fitseries;
}
public void initCurveFit()
{
if (Top20Count > 10)
{
CurveFit = ployfitSeries(ListMatchPointData, NowMatchTimeDiff);
CurveFitValue = CurveFit.Last();
}
}