public void ForEachCircularGraph_DoesNotEnd()
{
var chain = new MarkovChain();
chain.AddWord("A");
chain.AddWord("B");
chain.AddWord("A");
chain.AddWord("C");
chain.AddWord("A");
int iterations = 0;
foreach (var word in chain)
{
Debug.Write(string.Concat(word, " "));
iterations++;
if (iterations > 100)
{
break;
}
}
Assert.AreEqual(101, iterations);
}
public void AddRepeatedWords()
{
var chain = new MarkovChain();
chain.AddWord("A");
chain.AddWord("B");
chain.AddWord("A");
chain.AddWord("C");
Assert.AreEqual(2, chain.RootNode.Children[0].Children.Count);
Assert.AreEqual(1, chain.RootNode.Children[0].NodeIndex);
Assert.AreEqual(3, chain.RootNode.Children[0].Children[1].NodeIndex);
}
private List <MarkovChain> GetMarkovChains()
{
var sessionObject = System.Web.HttpContext.Current.Application["MarkovChain"];
if (sessionObject is List <MarkovChain> )
{
return(sessionObject as List <MarkovChain>);
}
var allDishes = _repository.GetAllDishes();
var markovChains = new List <MarkovChain>();
foreach (var dishesGroupedByRestaurant in allDishes.GroupBy(d => d.RestaurantId).OrderBy(g => g.Key))
{
var dishes = dishesGroupedByRestaurant.Select(d => d.Description);
var markov = new MarkovChain();
dishes.ForEach(txt =>
{
markov.AddMultipleWords(txt);
markov.AddWord(".");
});
markovChains.Add(markov);
}
System.Web.HttpContext.Current.Application.Lock();
System.Web.HttpContext.Current.Application["MarkovChain"] = markovChains;
System.Web.HttpContext.Current.Application.UnLock();
return(markovChains);
}
public void ForEachDistinctWords()
{
var chain = new MarkovChain();
chain.AddWord("A");
chain.AddWord("B");
chain.AddWord("C");
var listOfWords = new List <string>();
foreach (var word in chain)
{
listOfWords.Add(word);
}
CollectionAssert.AreEqual(new[] { "A", "B", "C" }, listOfWords);
}
