internal async Task RespondWithAnswer(String[] dataset, String start = "", String user = "")
{
int chainLength = 2;
if (IsNumber(start) && start != "")
{
chainLength = int.Parse(start);
start = "";
}
StringMarkov model = new StringMarkov(chainLength);
model.Learn(dataset);
Random rnd1 = new Random();
String sentence = "";
int startSpawn = 0;
Boolean acceptable = false;
int totalAttempts = 0;
while (sentence.Split('c').Length < 4 && !acceptable)
{
acceptable = false;
sentence = start;
int i = 0;
startSpawn += 1;
while (i < 30)
{
try
{
String[] newWord = model.GetMatches(sentence.Trim()).ToArray();
Double len = Convert.ToDouble(newWord.Length - 1);
Double rnd = Convert.ToDouble(rnd1.NextDouble());
Double decision = Math.Floor(rnd * len);
String selectedWord = newWord[Convert.ToInt32(decision)];
if (selectedWord == null)
{
break;
}
sentence = sentence + " " + selectedWord;
i += 1;
}
catch (Exception exc)
{
i = 31;
totalAttempts += 1;
if (totalAttempts > 1000)
{
await ReplyAsync("Sorry, no can do - " + user + " doesn't talk much");
return;
}
}
totalAttempts += 1;
if (totalAttempts > 1000)
{
await ReplyAsync("Sorry, no can do - " + user + " doesn't talk much");
return;
}
}
totalAttempts += 1;
if (totalAttempts > 1000)
{
await ReplyAsync("Sorry, no can do - " + user + " doesn't talk much");
return;
}
if (!dataset.Contains(sentence.Trim(' ')))
{
acceptable = true;
}
}
await ReplyAsync("```" + sentence + "``` - " + user);
}