private static IEnumerable<string> GetSentence(MarkovChain<string> chain, int maxWordLength)
{
string[] sentence;
while((sentence = chain.Chain(rng).ToArray()).Length > maxWordLength) { }
return sentence;
}
public void MarkovChainTest()
{
string text = "I am silently ignoring bad ids because they are entered by content editors who want to pull in certain images on to their pages, however I can put validation on the field to stop that from happening I suppose";
Markov.MarkovChain markov = new Markov.MarkovChain();
markov.Load(text);
Debug.Log (markov.Output ());
}
public Facts() {
FactChain = new Markov.MarkovChain<string>(1);
var FactsFile = Resources.Load("facts") as TextAsset;
var Facts = FactsFile.text.Split("\n"[0]);
foreach (string line in Facts) {
FactChain.Add (line.Split (' '));
}
}
static void Main(string[] args)
{
string path = Environment.CurrentDirectory + @"\rashoumon.txt";
MarkovChain markov = new MarkovChain();
markov.tripletsLengthMax = 10;
markov.tripletsLengthMin = 5;
markov.LoadText(path);
for (int i = 0; i < 10; i++)
{
Console.WriteLine(markov.Generate());
}
Console.WriteLine("\nFinished");
Console.ReadLine();
}
protected void Page_Load(object sender, EventArgs e)
{
string content = "";
List<int> indexs = new List<int>();
int lastIndex = -1;
Random ran = new Random();
while (true)
{
int index = ran.Next(0, 2200);
if (index != lastIndex)
{
indexs.Add(index);
lastIndex = index;
}
if (indexs.Count > 20)
break;
}
content = GetTweets.GetFromDB(indexs);
MarkovChain mc = new MarkovChain();
mc.Load(content);
string output = "";
while (true)
{
output = mc.Output();
if (output.Length < 140)
break;
}
var service = new TwitterService(ConfigurationManager.AppSettings["ConsumerKey"], ConfigurationManager.AppSettings["ConsumerKeySecret"]);
service.AuthenticateWith(ConfigurationManager.AppSettings["AccessToken"], ConfigurationManager.AppSettings["AccessTokenSecret"]);
service.SendTweet(output);
}
private static MarkovChain<string> BuildSentenceChain(string resourceName, int order)
{
var sampleLines = SplitLines(ReadEmbeddedResource(resourceName).ToLower());
var samples = sampleLines.Select(line => SplitWords(line));
var chain = new MarkovChain<string>(order);
foreach (var sample in samples)
{
chain.Add(sample, 1);
}
return chain;
}
public DummySearchProvider()
{
titleChain = BuildSentenceChain("sample-titles.txt", 1);
descriptionChain = BuildSentenceChain("sample-descriptions.txt", 2);
}
