public void LinesAreAddedToModelOnLearn()
{
var model = new StringMarkov();
model.Learn(ExampleData);
Assert.AreEqual(ExampleData.Count(), model.SourceLines.Count);
CollectionAssert.AreEquivalent(ExampleData, model.SourceLines);
}
public void LearningDuplicateLinesAreIgnored()
{
var model = new StringMarkov();
model.Learn(ExampleData);
model.Learn(ExampleData);
Assert.AreEqual(ExampleData.Count(), model.SourcePhrases.Count);
Assert.That(ExampleData.ToList(), Is.EquivalentTo(model.SourcePhrases));
Assert.That(model.SourcePhrases, Is.Unique);
}
public void CanLearnLinesWithTrainedModel()
{
var model = new StringMarkov();
model.Learn(ExampleData);
Assert.AreEqual(ExampleData.Count(s => s.Split(' ').Length > model.Level), model.SourceLines.Count);
CollectionAssert.AreEquivalent(ExampleData.Where(s => s.Split(' ').Length > model.Level), model.SourceLines);
model.Learn("I do not like green eggs and hams");
Assert.AreEqual(ExampleData.Count() + 1, model.SourceLines.Count);
}