public void GetGraphTest()
{
string testingWord = "01212";
string autonatonName = "testowyAutomat";
string[] alphabetLetters = new string[] { "0", "1", "2" };
string[][] states = new string[][] { new string[] { "1", "0", "0" }, new string[] { "1", "1", "2" }, new string[] { "2", "2", "3" }, new string[] { "3", "3", "3"} };
Automaton automaton = new Automaton(alphabetLetters, states);
int finalState = automaton.GetFinalState(testingWord);
Assert.AreEqual(3, finalState);
File.Create(autonatonName).Close();
AdjacencyGraph<int, TaggedEdge<int, string>> graph;
automaton.GetGraph(autonatonName, out graph);
File.Delete(autonatonName);
}
private void findResultButton_Click(object sender, EventArgs e)
{
if(wordsInTrainingSet.Value > defaultTrainingWordMaxLength)
{
wordsInTrainingSet.Value = defaultTrainingWordMaxLength;
}
trainingWordMaxLength = (int) wordsInTrainingSet.Value;
if(wordsInTestSet.Value > defaultTestingWordMaxLength)
{
wordsInTestSet.Value = defaultTestingWordMaxLength;
}
if (wordsInTestSet.Value < defaultTestingWordMinLength)
{
wordsInTestSet.Value = defaultTestingWordMinLength;
}
testingWordMaxLength = (int) wordsInTestSet.Value;
// Prepare word sets
string[] trainingLetters = prepareAlphabet(trainingWordMaxLength);
string[] testingLetters = prepareAlphabet(testingWordMaxLength);
WordSetGenerator w = new WordSetGenerator(testingLetters, trainingLetters, defaultTestingWordMinLength);
Console.WriteLine("Generating training words!");
// Generate training set
w.GenerateTrainingWordsSet(new StringBuilder(), 0, trainingWordMaxLength);
Console.WriteLine("Generating testing words!");
// Generate testing set
w.GenerateTestingWordsSet(new StringBuilder(), 0, testingWordMaxLength, new bool[testingLetters.Length]);
for(int i = 0; i< NoOfWords.Value; i++)
{
StringBuilder word = new StringBuilder();
StringBuilder word2 = new StringBuilder();
Random random = new Random();
int length = random.Next((int)wordsInTrainingSet.Value, (int)WordLenght.Value + 1);
for(int j = 0; j < length; j++)
{
word.Append(alphabetLetters[random.Next() % alphabetLetters.Length]);
word2.Append(alphabetLetters[random.Next() % alphabetLetters.Length]);
}
w.TrainingWords.Add(word.ToString());
w.TestingWords.Add(word2.ToString());
}
Console.WriteLine("Go go go!");
TargetFunction targetFunction = new TargetFunction(automaton, w.TrainingWords, w.TestingWords);
// Start algorithm and then remove unreached states
PsoAlgorithm pso = new PsoAlgorithm((double)minErrLevel.Value, (int)maxIterationCount.Value, (int)minStateNumber.Value,
(int)maxStateNumber.Value, alphabetLetters.Length, (int)ParticlesNumber.Value);
System.Tuple<Automaton, double> result = pso.RunAlgorithm();
foundAutomaton = result.Item1;
showOutputPictureButton.Enabled = true;
string errorRate = result.Item2.ToString("N2");
//MessageBox.Show($"Best automaton found with error rate: {errorRate}", "Success", MessageBoxButtons.OK, MessageBoxIcon.Information);
AdjacencyGraph<int, TaggedEdge<int, string>> g;
foundAutomaton.GetGraph("OutputAutomaton" + automatoncounter, out g);
GenerateFile(g, errorRate, automaton.States.Count);
}