private void Bg_DoWork(object sender, DoWorkEventArgs e)
{
_ar = e.Argument as Argument;
_errorNumbers = (int)(((double)_error / 100) * (_ar.Words.Length * _ar.Words.Length - 1));
if (_ar != null)
e.Result = Pso.ApproximateAutomaton(_ar.Swarm, _ar.GlobalBest, _fileAutomata, _fileAutomata.MaxNumberOfStates, _ar.Minutes, _errorNumbers, _ar.Words, _ar.Alpahbet, ref _bg, _iterationsCount, _c1, _c2, _c3);
}
private void buttonStart_Click(object sender, EventArgs e)
{
labelErrorsTest.Text = "100%";
labelErrorsTrening.Text = "100%";
labelProgress.Text = "Generowanie zbiorów testowych...";
labelProgress.Refresh();
_minutes = int.Parse(textBoxTime.Text);
_error = int.Parse(textBoxError.Text);
if (!_isFile) return;
_fileAutomata.MaxNumberOfStates = _maxState;
var numberofsymbols = _fileAutomata.NumberOfSymbols;
var alphabet = Utils.GenerateAlphabeth(numberofsymbols);
var swarm = Utils.GenerateRandomSwarm(_swarmSize, _fileAutomata.NumberOfSymbols, _fileAutomata.MaxNumberOfStates);
var gbeststates = r.Next(1, _fileAutomata.MaxNumberOfStates);
var tab2 = new int[gbeststates * _fileAutomata.NumberOfSymbols];
for (int j = 0; j < tab2.Length; j++)
{
r = new Random(j * DateTime.Now.Millisecond);
tab2[j] = r.Next(1, gbeststates);
}
Particle gbest = new Particle(new Automata { NumberOfStates = gbeststates, NumberOfSymbols = _fileAutomata.NumberOfSymbols, StateTable = tab2, MaxNumberOfStates = _fileAutomata.MaxNumberOfStates }, null);
List<string> trainingDictionary = new List<string>();
List<string> testDictionary = new List<string>();
if (checkBoxOwnTrainingDictionary.Checked)
{
string wordsString = richTextBoxTrainingDictionary.Text;
string[] words = wordsString.Split('\n');
if (words.Length == 0 || (words.Length == 1 && words[0] == ""))
{
labelProgress.Text = "Niepoprawny zbiór treningowy!";
MessageBox.Show("Zbiór treningowy nie może być pusty!");
return;
}
foreach (var word in words)
{
for (int i = 0; i < word.Length; i++)
if (!alphabet.Contains(word[i]))
{
labelProgress.Text = "Niepoprawny zbiór treningowy!";
MessageBox.Show("Jedno ze słów w zbiorze treningowym zawiera niedozwolony znak!");
return;
}
trainingDictionary.Add(word);
}
}
else
Utils.GenerateTrainingDictionary(ref trainingDictionary, alphabet, _fileAutomata.MaxNumberOfStates, _wordLength);
if(checkBoxOwnTestDictionary.Checked)
{
string wordsString = richTextBoxTestDictionary.Text;
string[] words = wordsString.Split('\n');
if (words.Length == 0 || (words.Length == 1 && words[0] == ""))
{
labelProgress.Text = "Niepoprawny zbiór testowy!";
MessageBox.Show("Zbiór testowy nie może być pusty!");
return;
}
foreach (var word in words)
{
for (int i = 0; i < word.Length; i++)
if (!alphabet.Contains(word[i]))
{
labelProgress.Text = "Niepoprawny zbiór testowy!";
MessageBox.Show("Jedno ze słów w zbiorze testowym zawiera niedozwolony znak!");
return;
}
testDictionary.Add(word);
}
}
else
Utils.GenerateTestDictionary(ref testDictionary, alphabet, _maxState);
_ar = new Argument
{
Alpahbet = alphabet,
GlobalBest = gbest,
Minutes = _minutes,
Swarm = swarm,
Words = trainingDictionary.ToArray(),
TestWords = testDictionary.ToArray()
};
buttonFileOpen.Enabled = false;
buttonStart.Enabled = false;
labelProgress.Text = "Trwa rekonstrukcja automatu...";
_bg.RunWorkerAsync(_ar);
}
