public static void Train(MarkovData context, string data)
{
Settings settings = Settings.Instance;
foreach (string r in settings.RowbreakChars)
{
data = data.Replace(r, " ");
}
data = data.Replace(System.Environment.NewLine, " ");
string[] words = data.Split(new[] { ' ' }, StringSplitOptions.RemoveEmptyEntries);
Word cur, prev = null;
bool isStarter = true, isEnding;
string w;
for (int i = 0; i < words.Length; i++)
{
string word = words[i];
w = word.ToLowerInvariant();
isEnding = false;
foreach (char c in settings.TerminationChars)
{
if (w.EndsWith(c.ToString()))
{
isEnding = true;
break;
}
}
if (i == words.Length - 1)
{
isEnding = true;
}
if (prev != null && !isStarter)
{
prev.Children.Add(new ChildWord(w, isEnding));
}
if ((cur = context.Find(Strip(w))) != null)
{
cur.Prevalence++;
}
else
{
cur = new Word(context, Strip(w), isStarter, isEnding);
context.Words.Add(cur);
}
prev = cur;
if (isEnding) // determines if next word is starter
{
isStarter = true;
}
else
{
isStarter = false;
}
}
}
public static string Generate(MarkovData context)
{
if (m_Rnd == null)
{
m_Rnd = new Random();
}
List <Word> _starters = context.GetStarters();
List <Word> starters = new List <Word>();
foreach (Word w in _starters)
{
for (int i = 0; i < w.Prevalence; i++)
{
starters.Add(w);
}
}
Word prev = starters[m_Rnd.Next(0, starters.Count)];
string rtn = prev.Data + " ";
while (true)
{
ChildWord w = prev.Children[m_Rnd.Next(0, prev.Children.Count)];
rtn += w.Data;
prev = context.Find(Strip(w.Data));
if (w.IsEnding)
{
break;
}
else
{
rtn += " ";
}
}
return(rtn);
}