static void Main(string[] args)
{
Console.WriteLine("[enter] to start grid application ...");
Console.ReadLine();
// create grid application
ga = new GApplication(new GConnection("localhost", 9000, "user", "user"));
ga.ApplicationName = "Alchemi Tutorial - Alchemi sample";
// add GridThread module (this executable) as a dependency
ga.Manifest.Add(new ModuleDependency(typeof(MultiplierThread).Module));
// create and add 10 threads to the application
for (int i = 0; i < 10; i++)
{
// create thread
MultiplierThread thread = new MultiplierThread(i, i + 1);
// add thread to application
ga.Threads.Add(thread);
}
// subscribe to events
ga.ThreadFinish += new GThreadFinish(ThreadFinished);
ga.ThreadFailed += new GThreadFailed(ThreadFailed);
ga.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
// start application
ga.Start();
Console.ReadLine();
}
/// <summary>
///
/// Const.Tor
/// </summary>
public eduGRID_botwrapper(string ManIP, int Port)
{
// create grid application
ga = new GApplication(true);
ga.GConnection = new GConnection(ManIP, Port, "user", "user");
ga.Connection = new GConnection(ManIP, Port, "user", "user");
ga.ApplicationName = "eduGRID Bot Client";
// add GridThread module (this current one!) as a dependency
ga.Manifest.Add(new ModuleDependency(typeof(eduGRID_Thread).Module));
// subscribe to events
ga.ThreadFinish += new GThreadFinish(ThreadFinished);
ga.ThreadFailed += new GThreadFailed(ThreadFailed);
//ga.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
ga.Start();
}
static void Main(string[] args)
{
Console.WriteLine("Press [enter] to start ...");
Console.ReadLine();
try
{
ga = new GApplication(GConnection.FromConsole("localhost", "9000", "user", "user"));
ga.ApplicationName = "Grid Reverser - Alchemi sample";
ga.ThreadFinish += new GThreadFinish(JobFinished);
ga.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
ga.Manifest.Add(new EmbeddedFileDependency("Reverse.exe", @"..\..\..\Reverse\bin\Debug\Reverse.exe"));
for (int jobNum=0; jobNum<2; jobNum++)
{
GJob job = new GJob();
string inputFileName = string.Format("input{0}.txt", jobNum);
string outputFileName = string.Format("output{0}.txt", jobNum);
job.InputFiles.Add(new EmbeddedFileDependency(inputFileName, @"..\..\" + inputFileName));
job.RunCommand = string.Format("Reverse {0} > {1}", inputFileName, outputFileName);
job.OutputFiles.Add(new EmbeddedFileDependency(outputFileName));
ga.Threads.Add(job);
}
ga.Start();
}
catch (Exception e)
{
Console.WriteLine(e.GetType() + " : " + e.Message);
Console.ReadLine();
return;
}
Console.WriteLine("Started .. Waiting for jobs to finish ..\n");
Console.ReadLine();
}
static void Main()
{
Console.WriteLine("[Pi Calculator Grid Application]\n--------------------------------\n");
Console.WriteLine("Press <enter> to start ...");
Console.ReadLine();
Logger.LogHandler += new LogEventHandler(LogHandler);
try
{
// get the number of digits from the user
bool numberOfDigitsEntered = false;
while (!numberOfDigitsEntered)
{
try
{
NumberOfDigits = Int32.Parse(Utils.ValueFromConsole("Digits to calculate", "100"));
if (NumberOfDigits > 0)
{
numberOfDigitsEntered = true;
}
}
catch (Exception)
{
Console.WriteLine("Invalid numeric value.");
numberOfDigitsEntered = false;
}
}
// get settings from user
GConnection gc = GConnection.FromConsole("localhost", "9000", "user", "user");
StartTiming();
// create a new grid application
App = new GApplication(gc);
App.ApplicationName = "PI Calculator - Alchemi sample";
// add the module containing PiCalculatorThread to the application manifest
App.Manifest.Add(new ModuleDependency(typeof(PiCalculatorThread).Module));
NumThreads = (Int32)Math.Floor((double)NumberOfDigits / DigitsPerThread);
if (DigitsPerThread * NumThreads < NumberOfDigits)
{
NumThreads++;
}
// create and add the required number of grid threads
for (int i = 0; i < NumThreads; i++)
{
int StartDigitNum = 1 + (i * DigitsPerThread);
/// the number of digits for each thread
/// Each thread will get DigitsPerThread digits except the last one
/// which might get less
int DigitsForThisThread = Math.Min(DigitsPerThread, NumberOfDigits - i * DigitsPerThread);
Console.WriteLine(
"starting a thread to calculate the digits of pi from {0} to {1}",
StartDigitNum,
StartDigitNum + DigitsForThisThread - 1);
PiCalculatorThread thread = new PiCalculatorThread(
StartDigitNum,
DigitsForThisThread
);
App.Threads.Add(thread);
}
// subcribe to events
App.ThreadFinish += new GThreadFinish(ThreadFinished);
App.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
// start the grid application
App.Start();
logger.Debug("PiCalc started.");
}
catch (Exception e)
{
Console.WriteLine("ERROR: {0}", e.ToString());
}
Console.ReadLine();
}
private void btn_Start_Click(object sender, EventArgs e)
{
try
{
// create grid application
ga = new GApplication(true);
ga.GConnection = new GConnection(txtIP.Text, int.Parse(txtPort.Text), "user", "user");
ga.Connection = new GConnection(txtIP.Text, int.Parse(txtPort.Text), "user", "user");
ga.ApplicationName = "eduGRID Bot Client";
// add GridThread module (this executable) as a dependency
ga.Manifest.Add(new ModuleDependency(typeof(eduGRID_Thread).Module));
// subscribe to events
ga.ThreadFinish += new GThreadFinish(ThreadFinished);
ga.ThreadFailed += new GThreadFailed(ThreadFailed);
//ga.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
ga.Start();
Connect.Visible = false;
chatgrp.Visible = true;
chatgrp.BringToFront();
txt_chat.Focus();
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), "Connection Failure!");
}
}
protected override void StartTraining(bool aIsRunning)
{
if (aIsRunning)
{
mStopWatch = new Stopwatch();
mStopWatch.Start();
Stopwatch st = new Stopwatch();
st.Start();
min = Double.MaxValue;
mintest = Double.MaxValue;
// create grid application
Settings settings = Settings.LoadSettings();
GA = new GApplication(new GConnection(settings.AlchemiURL, settings.AlchemiPort, settings.AlchemiUser, settings.AlchemiPassword));
GA.ApplicationName = "Plain Neural Network model";
// add GridThread module (this executable) as a dependency
GA.Manifest.Add(new ModuleDependency(typeof(AForge.PolishExpression).Module));
GA.Manifest.Add(new ModuleDependency(typeof(AForge.Neuro.ActivationNetwork).Module));
GA.Manifest.Add(new ModuleDependency(typeof(SingleNNTraining).Module));
// subscribe to events
GA.ThreadFinish += new GThreadFinish(ThreadFinished);
GA.ThreadFailed += new GThreadFailed(ThreadFailed);
GA.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
// Набор от данни използван за обучение
mInput = new double[ExtractEnd - ExtractBegin + 1][];
mOutput = new double[ExtractEnd - ExtractBegin + 1][];
// Тестов набор от данни
mTestInput = new double[TestEnd - TestBegin + 1][];
mTestOutput = new double[TestEnd - TestBegin + 1][];
for (int i = 0; i < ExtractEnd - ExtractBegin + 1; i++)
{
mInput[i] = new double[IndependentVariables.Count];
mOutput[i] = new double[DependentVariables.Count];
}
for (int i = 0; i < TestEnd - TestBegin + 1; i++)
{
mTestInput[i] = new double[IndependentVariables.Count];
mTestOutput[i] = new double[DependentVariables.Count];
}
MainDataSetTableAdapters.VARIABLESTableAdapter adptVariables = new Plig.TimeSeries.Client.MainDataSetTableAdapters.VARIABLESTableAdapter();
mReinitializations = Convert.ToInt32(txtReinitializations.Text);
results = new List<NNResultSet>(mReinitializations);
mEpochs = Convert.ToInt32(txtEpochs.Text);
ReinitsFinished = 0;
int index_of_variable = 0;
foreach (int variable_id in IndependentVariables.Keys)
{
double minObsValue = adptVariables.MinObservationValue(ExtractBegin, ExtractEnd, variable_id).Value;
double factor = 1.7 / (adptVariables.MaxObservationValue(ExtractBegin, ExtractEnd, variable_id).Value - adptVariables.MinObservationValue(ExtractBegin, ExtractEnd, variable_id).Value);
Dictionary<int, double?> observations = VariableObservations(variable_id);
foreach (int counter in observations.Keys)
{
if ((counter >= ExtractBegin) && (counter <= ExtractEnd))
{
mInput[counter - ExtractBegin][index_of_variable] = (observations[counter].Value - minObsValue) * factor - 0.85;
}
if ((counter >= TestBegin) && (counter <= TestEnd))
{
mTestInput[counter - TestBegin][index_of_variable] = (observations[counter].Value - minObsValue) * factor - 0.85;
}
}
index_of_variable++;
}
index_of_variable = 0;
foreach (int variable_id in DependentVariables.Keys)
{
double minObsValue = adptVariables.MinObservationValue(ExtractBegin, ExtractEnd, variable_id).Value;
double factor = 1.7 / (adptVariables.MaxObservationValue(ExtractBegin, ExtractEnd, variable_id).Value - adptVariables.MinObservationValue(ExtractBegin, ExtractEnd, variable_id).Value);
Dictionary<int, double?> observations = VariableObservations(variable_id);
foreach (int counter in observations.Keys)
{
if ((counter >= ExtractBegin) && (counter <= ExtractEnd))
{
mOutput[counter - ExtractBegin][index_of_variable] = (observations[counter].Value - minObsValue) * factor - 0.85;
}
if ((counter >= TestBegin) && (counter <= TestEnd))
{
mTestOutput[counter - TestBegin][index_of_variable] = (observations[counter].Value - minObsValue) * factor - 0.85;
}
}
index_of_variable++;
}
double momentum = 0.0;
double learning_rate = 0.1;
learning_rate = Convert.ToDouble(txtLearningRate.Text);
momentum = Convert.ToDouble(txtMomentum.Text);
int min_neurons = 1;
int max_neurons = 1;
if (rbFixedHiddenNeurons.Checked)
{
min_neurons = Convert.ToInt32(txtHiddenNeurons.Text);
max_neurons = min_neurons;
}
if (rbFlexibleHiddenNeurons.Checked)
{
min_neurons = Convert.ToInt32(txtMinHiddenNeurons.Text);
max_neurons = Convert.ToInt32(txtMaxHiddenNeurons.Text);
}
int TotalNNCalculations = 0;
for (int hidden_neurons = min_neurons; hidden_neurons <= max_neurons; hidden_neurons++)
{
for (int i = 0; i < mReinitializations; i++)
// Parallel.For(0, mReinitializations - 1, i =>
{
// create thread
SingleNNTraining single_nn = new SingleNNTraining(mInput, mOutput, mEpochs);
single_nn.HiddenNeurons = hidden_neurons;
single_nn.Iterations = mEpochs;
single_nn.Momentum = momentum;
single_nn.LearningRate = learning_rate;
// добавяне на набора от данни за тестване
single_nn.TestInput = mTestInput;
single_nn.TestOutput = mTestOutput;
// add thread to application
GA.Threads.Add(single_nn);
TotalNNCalculations++;
}
// );
}
pbProgressTraining.Minimum = 0;
pbProgressTraining.Maximum = TotalNNCalculations - 1;
GA.Start();
st.Stop();
lbResults.Items.Add("Време необходимо за конструиране на данните: " + st.Elapsed.ToString());
int populationCount = Convert.ToInt32(txtPopulationCount.Text);
Population population = new Population(populationCount,
new DoubleArrayChromosome(new AForge.Math.Random.UniformOneGenerator(),
new AForge.Math.Random.GaussianGenerator(0, 1),new AForge.Math.Random.GaussianGenerator(0, 1),
(mOutput.Length + mInput.Length + 1) * 10 + mOutput.Length),
new NeuralNetworkFitness(mInput, mOutput, new int[] { IndependentVariables.Count, 10, DependentVariables.Count }),
new EliteSelection());
int geneticEpochs = Convert.ToInt32(txtGeneticEpochs.Text);
pbGeneticProgress.Maximum = geneticEpochs;
for (int i = 0; i < geneticEpochs; i++)
{
population.RunEpoch();
pbGeneticProgress.Value = i + 1;
Application.DoEvents();
}
NeuralNetworkFitness nnf = new NeuralNetworkFitness(mInput, mOutput, new int[] { IndependentVariables.Count, 5, DependentVariables.Count });
mBestGeneticActivationNetwork = (ActivationNetwork)nnf.Translate(population.BestChromosome);
}
else
{
if (GA.Running)
{
foreach (GThread thread in GA.Threads)
{
thread.Abort();
}
// GA.Stop();
lbResults.Items.Add("Обучението е прекъснато.");
}
}
}
static void Main(string[] args)
{
Console.WriteLine("Enter furmula: ");
var formula = Console.ReadLine();
var expr = new Expression(formula, new []{ "x"});
Console.WriteLine("Enter interval [start end]");
var border_input = Console.ReadLine().Split(' ');
var start = Convert.ToDouble(border_input[0]);
var end = Convert.ToDouble(border_input[1]);
Console.WriteLine("Enter number of threads: ");
var num_threads = Convert.ToInt32(Console.ReadLine());
Console.WriteLine("[enter] to start grid application ...");
Console.ReadLine();
ga = new GApplication(new GConnection("localhost", 9000, "user", "user"));
ga.ApplicationName = "Integral calculator";
// add GridThread module (this executable) as a dependency
ga.Manifest.Add(new ModuleDependency(typeof(IntegralCalculationThread).Module));
var thread_step = (end - start) / num_threads;
for (int i = 0; i < num_threads; i++)
{
var s = start + i * thread_step;
var e = start + (i + 1) * thread_step;
var thread = new IntegralCalculationThread(s, e, expr);
ga.Threads.Add(thread);
}
ga.ThreadFinish += new GThreadFinish(ThreadFinished);
ga.ThreadFailed += new GThreadFailed(ThreadFailed);
ga.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
ga.Start();
Console.ReadLine();
}
static void Main(string[] args)
{
Console.WriteLine("[enter] to start grid application ...");
Console.ReadLine();
// create standard grid connection
GConnection gc = new GConnection("localhost", 9000, "user", "user");
// create multi-use grid application
ga = new GApplication(true);
ga.ApplicationName = "Tutorial OTF - Alchemi sample";
// use standard grid connection
ga.Connection = gc;
// add GridThread module (this executable) as a dependency
ga.Manifest.Add(new ModuleDependency(typeof(MultiplierThread).Module));
// set the thread finish callback method
ga.ThreadFinish += new GThreadFinish(ThreadFinished);
// start application
ga.Start();
int i = -1;
string input = "";
while (input != "x")
{
i++;
// create thread
MultiplierThread thread = new MultiplierThread(i, i + 1);
// add thread to application
ga.StartThread(thread);
Console.WriteLine("[enter] to start a new thread, [x] + [enter] to stop");
input = Console.ReadLine();
}
ga.Stop();
ApplicationStopped();
Console.ReadLine();
}
static void Main(string[] args)
{
Console.WriteLine("[enter] to start grid application ....");
Console.ReadLine();
// create grid application
ga = new GApplication(new GConnection("localhost", 80, "user", "user"));
ga.ApplicationName = "Alchemi Tutorial - Alchemi sample";
// add GridThread module (this executable) as a dependency
ga.Manifest.Add(new ModuleDependency(typeof(MultiplierThread).Module));
System.Console.WriteLine("successfully connected to manager and now going to start thread...");
string I="Hello";
while (true)
{
flag = false;
int i;
for (i = 0; i < 100; i++)
{
System.Console.Write("\nYour Query/You say: ");
I = System.Console.ReadLine();
//check for break signal
if ((I.ToLower() == "quit") || (I.ToLower() == "exit"))
break;
// create thread
MultiplierThread thread = new MultiplierThread(I);
// add thread to application
ga.Threads.Add(thread);
}
// subscribe to events
ga.ThreadFinish += new GThreadFinish(ThreadFinished);
ga.ThreadFailed += new GThreadFailed(ThreadFailed);
ga.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
// start application
ga.Start();
break;
while (!flag)
{
//do nothing but wait...
}
}
Console.ReadLine();
}
private void Connect(object sender, EventArgs e)
{
//start the process of connecting...
try
{
// create grid application
ga = new GApplication(true);
ga.GConnection = new GConnection(ManagerIP, Port, "user", "user");
ga.Connection = new GConnection(ManagerIP, Port, "user", "user");
ga.ApplicationName = "eduGRID Bot Client";
// add GridThread module (this executable) as a dependency
ga.Manifest.Add(new ModuleDependency(typeof(eduGRID_Thread).Module));
// subscribe to events
ga.ThreadFinish += new GThreadFinish(ThreadFinished);
ga.ThreadFailed += new GThreadFailed(ThreadFailed);
ga.ApplicationFinish += new GApplicationFinish(ApplicationFinished);
ga.Start();
connected = true;
Append_Queryset(Queryset.GetUpperBound(0), "Bot", "Connected. Done!", "", "");
Refresh_Display();
}
catch (Exception ex)
{
Append_Queryset(Queryset.GetUpperBound(0), "Bot", "Attempt failed! Disconnected", "Error", (ex.ToString()));
Refresh_Display();
}
finally
{
tmr_connect.Enabled = false;
}
}
