private void SaveFile(string fileName)
{
SuspendEngine();
string tempFile = System.IO.Path.GetTempFileName();
FileStream file = File.Create(tempFile);
foreach (ModuleView na in theNeuronArray.modules)
{
if (na.TheModule != null)
{
na.TheModule.SetUpBeforeSave();
}
}
//hide unused neurons to save on file size
for (int i = 0; i < theNeuronArray.arraySize; i++)
{
if (!theNeuronArray.GetNeuron(i).InUse() && theNeuronArray.GetNeuron(i).Model == Neuron.modelType.Std)
{
theNeuronArray.SetNeuron(i, null);
}
}
//Save the data from the network (NeuronArray and modules) to the file
try
{
theNeuronArray.displayParams = theNeuronArrayView.Dp;
XmlSerializer writer = new XmlSerializer(typeof(NeuronArray), GetModuleTypes());
writer.Serialize(file, theNeuronArray);
file.Close();
currentFileName = fileName;
Properties.Settings.Default["CurrentFile"] = currentFileName;
Properties.Settings.Default.Save();
File.Copy(tempFile, currentFileName, true);
File.Delete(tempFile);
}
catch (Exception e1)
{
MessageBox.Show("Save Failed because: " + e1.Message + "\r\n" + e1.InnerException.Message);
if (File.Exists(tempFile))
{
file.Close();
File.Delete(tempFile);
}
}
//restore unused neurons
for (int i = 0; i < theNeuronArray.arraySize; i++)
{
if (theNeuronArray.GetNeuron(i) == null)
{
theNeuronArray.SetNeuron(i, new Neuron(i));
}
}
ResumeEngine();
}
private bool LoadFile(string fileName)
{
CloseAllModuleDialogs();
CloseHistoryWindow();
CloseNotesWindow();
theNeuronArrayView.theSelection.selectedRectangles.Clear();
CloseAllModuleDialogs();
SuspendEngine();
try
{
// Load the data from the XML to the Brainsim Engine.
FileStream file = File.Open(fileName, FileMode.Open);
XmlSerializer reader = new XmlSerializer(typeof(NeuronArray), GetModuleTypes());
theNeuronArray = (NeuronArray)reader.Deserialize(file);
file.Close();
}
catch (Exception e1)
{
if (e1.InnerException != null)
{
MessageBox.Show("File Load failed because:\r\n " + e1.Message + "\r\nAnd:\r\n" + e1.InnerException.Message);
}
else
{
MessageBox.Show("File Load failed because:\r\n " + e1.Message);
}
return(false);
}
for (int i = 0; i < theNeuronArray.arraySize; i++)
{
if (theNeuronArray.GetNeuron(i) == null)
{
theNeuronArray.SetNeuron(i, new Neuron(i));
}
if (theNeuronArray.GetNeuron(i).CurrentCharge > 0 || theNeuronArray.GetNeuron(i).LastCharge > 0)
{
theNeuronArray.AddToFiringQueue(theNeuronArray.GetNeuron(i).Id);
}
}
//Update all the synapses to ensure that the synapse-from lists are correct
foreach (Neuron n in theNeuronArray.Neurons())
{
if (n.SynapsesFrom != null)
{
n.SynapsesFrom.Clear();
}
}
foreach (Neuron n in theNeuronArray.Neurons())
{
if (n.Synapses != null)
{
foreach (Synapse s in n.Synapses)
{
n.AddSynapse(s.TargetNeuron, s.Weight, theNeuronArray, false);
s.N = theNeuronArray.GetNeuron(s.TargetNeuron);
}
}
if (n.CurrentCharge >= 1 || n.LastCharge >= 1 || n.Model == Neuron.modelType.LIF)
{
theNeuronArray.AddToFiringQueue(n.Id);
}
}
theNeuronArray.CheckSynapseArray();
theNeuronArrayView.Update();
setTitleBar();
Task.Delay(1000).ContinueWith(t => ShowDialogs());
foreach (ModuleView na in theNeuronArray.modules)
{
if (na.TheModule != null)
{
na.TheModule.SetUpAfterLoad();
}
}
if (theNeuronArray.displayParams != null)
{
theNeuronArrayView.Dp = theNeuronArray.displayParams;
}
NeuronArrayView.SortAreas();
Update();
SetShowSynapsesCheckBox(theNeuronArray.ShowSynapses);
OpenHistoryWindow();
ResumeEngine();
return(true);
}
//copy the selection to a clipboard
public void CopyNeurons()
{
//get list of neurons to copy
List <int> neuronsToCopy = theSelection.EnumSelectedNeurons();
theSelection.GetSelectedBoundingRectangle(out int X1o, out int Y1o, out int X2o, out int Y2o);
myClipBoard = new NeuronArray();
myClipBoard.Initialize((X2o - X1o + 1) * (Y2o - Y1o + 1), (Y2o - Y1o + 1));
//by setting neurons to null, we can handle odd-shaped selections
for (int i = 0; i < myClipBoard.arraySize; i++)
{
myClipBoard.SetNeuron(i, null);
}
//copy the neurons
foreach (int nID in neuronsToCopy)
{
int destId = GetClipboardId(X1o, Y1o, nID);
//copy the source neuron to the clipboard
Neuron sourceNeuron = MainWindow.theNeuronArray.GetNeuron(nID);
Neuron destNeuron = sourceNeuron.Clone();
destNeuron.Id = destId;
myClipBoard.SetNeuron(destId, destNeuron);
}
//copy the synapses (this is two-pass so we make sure all neurons exist prior to copying
foreach (int nID in neuronsToCopy)
{
Neuron sourceNeuron = MainWindow.theNeuronArray.GetNeuron(nID);
int destId = GetClipboardId(X1o, Y1o, nID);
Neuron destNeuron = myClipBoard.GetNeuron(destId);
if (sourceNeuron.synapses != null)
{
foreach (Synapse s in sourceNeuron.synapses)
{
//only copy synapses with both ends in the selection
if (neuronsToCopy.Contains(s.TargetNeuron))
{
destNeuron.AddSynapse(GetClipboardId(X1o, Y1o, s.TargetNeuron), s.Weight);
}
}
}
}
//copy modules
foreach (ModuleView mv in MainWindow.theNeuronArray.modules)
{
if (theSelection.NeuronInSelection(mv.FirstNeuron) > 0 && theSelection.NeuronInSelection(mv.LastNeuron) > 0)
{
ModuleView newMV = new ModuleView()
{
FirstNeuron = GetClipboardId(X1o, Y1o, mv.FirstNeuron),
TheModule = mv.TheModule,
Color = mv.Color,
Height = mv.Height,
Width = mv.Width,
Label = mv.Label,
CommandLine = mv.CommandLine,
};
myClipBoard.modules.Add(newMV);
}
}
}
