private void GetMarkovHao(int k)
{
act(0, "\r\n\t正在计算MarkovHao\r\n\t......\r\n");
Stopwatch sp = new Stopwatch();
sp.Start();
foreach (KeyValuePair <string, Dictionary <int, List <int> > > item in dicKtuple)
{
MarkovPossibilityHao m = new MarkovPossibilityHao(item.Value, dicTotal[item.Key]);
//dicMarkovHao.Add(item.Key, new Dictionary<int, List<double>>());
//Parallel.For(0, ListK.Count, (i) =>
//{
//if (k > 2)
//{
Dictionary <int, List <double> > dic = dicMarkovHao[item.Key];
//dicMarkovHao[item.Key].Add(k, m.GetMarkovPossibility(k));
dic.Add(k, m.GetMarkovPossibility(k));
act(1, "");
//}//if
//});
}//foreach
sp.Stop();
act(0, "\tk = " + k + " 计算完毕，用时 " + sp.ElapsedMilliseconds * 1.0 / 1000 + " s\r\n\r\n");
}
private void GetMarkovHao()
{
act(0, "\r\n\t正在计算MarkovHao\r\n\t......\r\n");
Stopwatch sp = new Stopwatch();
sp.Start();
foreach (KeyValuePair <string, Dictionary <int, List <int> > > item in dicKtuple)
{
MarkovPossibilityHao m = new MarkovPossibilityHao(item.Value, dicTotal[item.Key]);
dicMarkovHao.Add(item.Key, new Dictionary <int, List <double> >());
Parallel.For(0, ListK.Count, (i) =>
{
if (ListK[i] > 2)
{
dicMarkovHao[item.Key].Add(listK[i], m.GetMarkovPossibility(ListK[i]));
act(1, "");
} //if
});
} //foreach
sp.Stop();
act(0, "\t计算完毕，用时 " + sp.ElapsedMilliseconds * 1.0 / 1000 + " s\r\n\r\n");
}
