private static void AddSynapseEntryToMenu(MenuItem mi, Synapse s)
{
string targetLabel = MainWindow.theNeuronArray.GetNeuron(s.targetNeuron).Label;
StackPanel sp0 = new StackPanel {
Orientation = Orientation.Horizontal
};
TextBlock tbWeight = new TextBlock {
Text = s.Weight.ToString("F3").PadLeft(9)
};
tbWeight.MouseEnter += SynapseEntry_MouseEnter;
tbWeight.MouseLeave += SynapseEntry_MouseLeave;
tbWeight.ToolTip = "Click to edit synapse";
tbWeight.MouseDown += SynapseEntry_MouseDown;
tbWeight.Name = "weight";
TextBlock tbTarget = new TextBlock {
Text = s.targetNeuron.ToString().PadLeft(8) + " " + targetLabel
};
sp0.Children.Add(tbWeight);
sp0.Children.Add(tbTarget);
tbTarget.MouseEnter += SynapseEntry_MouseEnter;
tbTarget.MouseLeave += SynapseEntry_MouseLeave;
tbTarget.ToolTip = "Click to go to neuron";
tbTarget.MouseDown += SynapseEntry_MouseDown;
tbTarget.Name = "neuron";
mi.Items.Add(sp0);
}
public static Shape GetSynapseView(int i, Point p1, Synapse s, NeuronArrayView theNeuronArrayView1)
{
theNeuronArrayView = theNeuronArrayView1;
Point p2 = dp.pointFromNeuron(s.TargetNeuron);
if (!PtOnScreen(p1) && !PtOnScreen(p2))
{
return(null);
}
Shape l = GetSynapseShape(p1, p2, theNeuronArrayView);
l.Stroke = Brushes.Red;
if (s.Weight < 0.9)
{
l.Stroke = Brushes.Yellow;
}
if (s.Weight < 0.1)
{
l.Stroke = Brushes.Green;
}
if (s.Weight < -0.1)
{
l.Stroke = Brushes.Blue;
}
if (s.Weight < -0.9)
{
l.Stroke = Brushes.Black;
}
l.SetValue(SourceIDProperty, i);
l.SetValue(TargetIDProperty, s.TargetNeuron);
l.SetValue(WeightValProperty, s.Weight);
return(l);
}
public void MoveOneNeuron(Neuron n, Neuron nNewLocation)
{
//copy the neuron attributes and delete them from the old neuron.
n.Copy(nNewLocation);
MainWindow.theNeuronArray.SetCompleteNeuron(nNewLocation);
//for all the synapses going out this neuron, change to going from new location
//don't use a foreach here because the body of the loop may delete a list entry
for (int k = 0; k < n.Synapses.Count; k++)
{
Synapse s = n.Synapses[k];
nNewLocation.AddSynapse(s.targetNeuron, s.weight, s.isHebbian);
}
//for all the synapses coming into this neuron, change the synapse target to new location
for (int k = 0; k < n.SynapsesFrom.Count; k++)
{
Synapse reverseSynapse = n.SynapsesFrom[k]; //(from synapses are sort-of backward
if (reverseSynapse.targetNeuron != -1)
{
Neuron sourceNeuron = MainWindow.theNeuronArray.GetNeuron(reverseSynapse.targetNeuron);
sourceNeuron.DeleteSynapse(n.id);
sourceNeuron.AddSynapse(nNewLocation.id, reverseSynapse.weight, reverseSynapse.isHebbian);
}
}
n.Clear();
}
public static Shape GetSynapseView(int i, Point p1, Synapse s, NeuronArrayView theNeuronArrayView1)
{
theNeuronArrayView = theNeuronArrayView1;
Point p2 = dp.pointFromNeuron(s.TargetNeuron);
if (!PtOnScreen(p1) && !PtOnScreen(p2))
{
return(null);
}
Shape l = GetSynapseShape(p1, p2, theNeuronArrayView, s.isHebbian);
l.Stroke = new SolidColorBrush(Utils.RainbowColorFromValue(s.weight));
if (l is Ellipse E)
{
}
else
{
l.Fill = l.Stroke;
}
l.SetValue(SourceIDProperty, i);
l.SetValue(TargetIDProperty, s.TargetNeuron);
l.SetValue(WeightValProperty, s.Weight);
return(l);
}
//SYNAPSE
private static void OpenSynapseContextMenu(FrameworkElement theShape)
{
int source = (int)theShape.GetValue(SynapseView.SourceIDProperty);
int target = (int)theShape.GetValue(SynapseView.TargetIDProperty);
float weight = (float)theShape.GetValue(SynapseView.WeightValProperty);
Neuron n1 = MainWindow.theNeuronArray.GetCompleteNeuron(source);
n1 = MainWindow.theNeuronArray.AddSynapses(n1);
Synapse s1 = n1.FindSynapse(target);
theShape.ContextMenu = new ContextMenu();
SynapseView.CreateContextMenu(source, s1, theShape.ContextMenu);
}
private static void cbHebbianChecked(object sender, RoutedEventArgs e)
{
CheckBox cb = sender as CheckBox;
ContextMenu cm = cb.Parent as ContextMenu;
cm.IsOpen = false;
CheckBox cbHebbian = (CheckBox)Utils.FindByName(cm, "Hebbian");
Synapse s = MainWindow.theNeuronArray.GetNeuron((int)cm.GetValue(SourceIDProperty)).
FindSynapse((int)cm.GetValue(TargetIDProperty));
if (s != null)
{
s.IsHebbian = (bool)cb.IsChecked;
}
}
public void MoveOneNeuron(Neuron n, Neuron nNewLocation)
{
n.AddUndoInfo();
nNewLocation.AddUndoInfo();
//copy the neuron attributes and delete them from the old neuron.
n.Copy(nNewLocation);
MainWindow.theNeuronArray.SetCompleteNeuron(nNewLocation);
if (FiringHistory.NeuronIsInFiringHistory(n.id))
{
FiringHistory.RemoveNeuronFromHistoryWindow(n.id);
FiringHistory.AddNeuronToHistoryWindow(nNewLocation.id);
}
//for all the synapses going out this neuron, change to going from new location
//don't use a foreach here because the body of the loop may delete a list entry
for (int k = 0; k < n.Synapses.Count; k++)
{
Synapse s = n.Synapses[k];
if (s.targetNeuron != n.id)
{
nNewLocation.AddSynapseWithUndo(s.targetNeuron, s.weight, s.model);
}
else
{
nNewLocation.AddSynapseWithUndo(nNewLocation.id, s.weight, s.model);
}
n.DeleteSynapseWithUndo(n.synapses[k].targetNeuron);
}
//for all the synapses coming into this neuron, change the synapse target to new location
for (int k = 0; k < n.SynapsesFrom.Count; k++)
{
Synapse reverseSynapse = n.SynapsesFrom[k]; //(from synapses are sort-of backward
if (reverseSynapse.targetNeuron != -1) //?
{
Neuron sourceNeuron = MainWindow.theNeuronArray.GetNeuron(reverseSynapse.targetNeuron);
sourceNeuron.DeleteSynapseWithUndo(n.id);
if (sourceNeuron.id != n.id)
{
sourceNeuron.AddSynapseWithUndo(nNewLocation.id, reverseSynapse.weight, reverseSynapse.model);
}
}
}
n.Clear();
}
private static void SynapseMenuItem_PreviewMouseRightButtonDown(object sender, MouseButtonEventArgs e)
{
MenuItem mi = sender as MenuItem;
MenuItem mi2 = mi.Parent as MenuItem;
ContextMenu cm = mi2.Parent as ContextMenu;
int sourceID = (int)cm.GetValue(NeuronIDProperty);
ContextMenu newCm = new ContextMenu();
int.TryParse(mi.Header.ToString().Substring(0, 8), out int targetID);
Neuron n = MainWindow.theNeuronArray.GetNeuron(sourceID);
Synapse s = n.FindSynapse(targetID);
if (s != null)
{
SynapseView.CreateContextMenu(sourceID, s, newCm);
newCm.IsOpen = true;
e.Handled = true;
}
}
List<Synapse> ConvertToSynapseList(byte[] input)
{
List<Synapse> retVal = new List<Synapse>();
Synapse s = new Synapse();
int sizeOfSynapse = Marshal.SizeOf(s);
int numberOfSynapses = input.Length / sizeOfSynapse;
byte[] oneSynapse = new byte[sizeOfSynapse];
for (int i = 0; i < numberOfSynapses; i++)
{
int offset = i * sizeOfSynapse;
for (int k = 0; k < sizeOfSynapse; k++)
oneSynapse[k] = input[k + offset];
GCHandle handle = GCHandle.Alloc(oneSynapse, GCHandleType.Pinned);
s = (Synapse)Marshal.PtrToStructure(handle.AddrOfPinnedObject(), typeof(Synapse));
retVal.Add(s);
handle.Free();
}
return retVal;
}
public void MoveOneNeuron(Neuron n, Neuron nNewLocation)
{
//copy the neuron attributes and delete them from the old neuron.
n.Copy(nNewLocation);
//for all the synapses going out this neuron, change to going from new location
//don't use a foreach here because the body of the loop may delete a list entry
if (n.synapses != null)
{
for (int k = 0; k < n.synapses.Count; k++)
{
Synapse s = n.Synapses[k];
Synapse s1 = nNewLocation.AddSynapse(s.TargetNeuron, s.Weight);
if (s1 != null && s.IsHebbian)
{
s1.IsHebbian = true;
}
}
}
//for all the synapses coming into this neuron, change the synapse target to new location
if (n.synapses != null)
{
for (int k = 0; k < n.synapsesFrom.Count; k++)
{
Synapse reverseSynapse = n.SynapsesFrom[k]; //(from synapses are sort-of backward
if (reverseSynapse.TargetNeuron != -1)
{
Neuron sourceNeuron = MainWindow.theNeuronArray.GetNeuron(reverseSynapse.TargetNeuron);
Synapse s = sourceNeuron.FindSynapse(n.Id);
if (s != null)
{
s.TargetNeuron = nNewLocation.Id;
nNewLocation.SynapsesFrom.Add(new Synapse(sourceNeuron.Id, s.Weight));
}
}
}
}
n.Clear();
}
public static bool Load(ref NeuronArray theNeuronArray, string fileName)
{
FileStream file = File.Open(fileName, FileMode.Open);
XmlSerializer reader1 = new XmlSerializer(typeof(NeuronArray), GetModuleTypes());
theNeuronArray = (NeuronArray)reader1.Deserialize(file);
file.Close();
//the above automatically loads the content of the neuronArray object but can't load the neurons themselves
//because of formatting changes
XmlDocument xmldoc = new XmlDocument();
XmlNodeList neuronNodes;
FileStream fs = new FileStream(fileName, FileMode.Open, FileAccess.Read);
xmldoc.Load(fs);
fs.Close();
int arraySize = theNeuronArray.arraySize;
theNeuronArray.Initialize(arraySize);
neuronNodes = xmldoc.GetElementsByTagName("Neuron");
for (int i = 0; i < neuronNodes.Count; i++)
{
XmlElement neuronNode = (XmlElement)neuronNodes[i];
XmlNodeList idNodes = neuronNode.GetElementsByTagName("Id");
if (idNodes.Count < 1)
{
continue;
}
int id = -1;
int.TryParse(idNodes[0].InnerText, out id);
if (id == -1)
{
continue;
}
Neuron n = theNeuronArray.GetNeuron(id);
n.Owner = theNeuronArray;
n.id = id;
foreach (XmlElement node in neuronNode.ChildNodes)
{
string name = node.Name;
switch (name)
{
case "Label":
n.label = node.InnerText;
break;
case "Model":
Enum.TryParse(node.InnerText, out Neuron.modelType theModel);
n.model = theModel;
break;
case "LeakRate":
float.TryParse(node.InnerText, out float leakRate);
n.leakRate = leakRate;
break;
case "LastCharge":
float.TryParse(node.InnerText, out float lastCharge);
n.LastCharge = lastCharge;
n.currentCharge = lastCharge;
break;
case "Synapses":
theNeuronArray.SetCompleteNeuron(n);
XmlNodeList synapseNodess = node.GetElementsByTagName("Synapse");
foreach (XmlNode synapseNode in synapseNodess)
{
Synapse s = new Synapse();
foreach (XmlNode synapseAttribNode in synapseNode.ChildNodes)
{
string name1 = synapseAttribNode.Name;
switch (name1)
{
case "TargetNeuron":
int.TryParse(synapseAttribNode.InnerText, out int target);
s.targetNeuron = target;
break;
case "Weight":
float.TryParse(synapseAttribNode.InnerText, out float weight);
s.weight = weight;
break;
case "IsHebbian":
bool.TryParse(synapseAttribNode.InnerText, out bool isheb);
s.isHebbian = isheb;
break;
}
}
n.AddSynapse(s.targetNeuron, s.weight, s.isHebbian);
}
break;
}
}
theNeuronArray.SetCompleteNeuron(n);
}
return(true);
}
//these aren't added to synapses for performance but are built on the fly if the user right-clicks
public static void CreateContextMenu(int i, Synapse s, ContextMenu cm)
{
cm.SetValue(SourceIDProperty, i);
cm.SetValue(TargetIDProperty, s.TargetNeuron);
cm.SetValue(WeightValProperty, s.Weight);
MenuItem mi = new MenuItem();
mi.Header = "Delete";
mi.Click += DeleteSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = "Step & Repeat";
mi.Click += StepAndRepeatSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = "1";
mi.Click += ANDSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = ".9";
mi.Click += ANDSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = ".5";
mi.Click += ANDSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = ".34";
mi.Click += ANDSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = ".25";
mi.Click += ANDSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = "-1";
mi.Click += ANDSynapse_Click;
cm.Items.Add(mi);
mi = new MenuItem();
mi.Header = "Weight:";
mi.IsEnabled = false;
mi.Click += ANDSynapse_Click;
cm.Items.Add(mi);
TextBox tb = new TextBox();
tb.Text = s.Weight.ToString("F4");
tb.Width = 200;
tb.TextChanged += Tb_TextChanged;
cm.Items.Add(tb);
CheckBox cbHebbian = new CheckBox
{
IsChecked = s.IsHebbian,
Content = "Hebbian Learning",
Name = "Hebbian",
};
cbHebbian.Checked += cbHebbianChecked;
cbHebbian.Unchecked += cbHebbianChecked;
cm.Items.Add(cbHebbian);
}
//these aren't added to synapses (for performance) but are built on the fly if the user right-clicks
public static void CreateContextMenu(int i, Synapse s, ContextMenu cm)
{
cmCancelled = false;
weightChanged = false;
//set defaults for next synapse add
theNeuronArrayView.lastSynapseModel = s.model;
theNeuronArrayView.lastSynapseWeight = s.weight;
cm.SetValue(SourceIDProperty, i);
cm.SetValue(TargetIDProperty, s.TargetNeuron);
cm.SetValue(WeightValProperty, s.Weight);
cm.SetValue(ModelProperty, s.model);
cm.Closed += Cm_Closed;
cm.PreviewKeyDown += Cm_PreviewKeyDown;
cm.Opened += Cm_Opened;
Neuron nSource = MainWindow.theNeuronArray.GetNeuron(i);
Neuron nTarget = MainWindow.theNeuronArray.GetNeuron(s.targetNeuron);
StackPanel sp = new StackPanel {
Orientation = Orientation.Horizontal, Margin = new Thickness(0, 3, 3, 3)
};
sp.Children.Add(new Label {
Content = "Source: ", Padding = new Thickness(0)
});
string source = nSource.id.ToString();
if (nSource.label != "")
{
source = nSource.Label;
}
TextBox t0 = Utils.ContextMenuTextBox(source, "Source", 150);
t0.TextChanged += TextChanged;
sp.Children.Add(t0);
cm.Items.Add(new MenuItem {
Header = sp, StaysOpenOnClick = true
});
sp = new StackPanel {
Orientation = Orientation.Horizontal, Margin = new Thickness(0, 3, 3, 3)
};
sp.Children.Add(new Label {
Content = "Target: ", Padding = new Thickness(0)
});
string target = nTarget.id.ToString();
if (nTarget.label != "")
{
target = nTarget.Label;
}
TextBox t1 = Utils.ContextMenuTextBox(target, "Target", 150);
t1.TextChanged += TextChanged;
sp.Children.Add(t1);
cm.Items.Add(new MenuItem {
Header = sp, StaysOpenOnClick = true
});
//The Synapse model
sp = new StackPanel {
Orientation = Orientation.Horizontal, Margin = new Thickness(0, 3, 3, 3)
};
sp.Children.Add(new Label {
Content = "Model: ", Padding = new Thickness(0)
});
ComboBox cb = new ComboBox()
{
Width = 100,
Name = "Model"
};
for (int index = 0; index < Enum.GetValues(typeof(Synapse.modelType)).Length; index++)
{
Synapse.modelType model = (Synapse.modelType)index;
cb.Items.Add(new ListBoxItem()
{
Content = model.ToString(),
ToolTip = Synapse.modelToolTip[index],
Width = 100,
});
}
cb.SelectedIndex = (int)s.model;
sp.Children.Add(cb);
cm.Items.Add(new MenuItem {
Header = sp, StaysOpenOnClick = true
});
cm.Items.Add(Utils.CreateComboBoxMenuItem("SynapseWeight", s.weight, synapseWeightValues, "F3", "Weight: ", 100, ComboBox_ContentChanged));
MenuItem mi = new MenuItem();
mi.Header = "Delete";
mi.Click += DeleteSynapse_Click;
cm.Items.Add(mi);
sp = new StackPanel {
Orientation = Orientation.Horizontal
};
Button b0 = new Button {
Content = "OK", Width = 100, Height = 25, Margin = new Thickness(10), IsDefault = true
};
b0.Click += B0_Click;
sp.Children.Add(b0);
b0 = new Button {
Content = "Cancel", Width = 100, Height = 25, Margin = new Thickness(10), IsCancel = true
};
b0.Click += B0_Click;
sp.Children.Add(b0);
cm.Items.Add(new MenuItem {
Header = sp, StaysOpenOnClick = true
});
}
public static bool Load(ref NeuronArray theNeuronArray, string fileName)
{
FileStream file;
try
{
file = File.Open(fileName, FileMode.Open, FileAccess.Read);
}
catch (Exception e)
{
MessageBox.Show("Could not open file because: " + e.Message);
RemoveFileFromMRUList(fileName);
return(false);
}
// first check if the required start tag is present in the file...
byte[] buffer = new byte[60];
file.Read(buffer, 0, 60);
string line = Encoding.UTF8.GetString(buffer, 0, buffer.Length);
if (line.Contains("NeuronArray"))
{
file.Seek(0, SeekOrigin.Begin);
}
else
{
file.Close();
MessageBox.Show("File is no valid Brain Simulator II XML file.");
return(false);
}
MainWindow.thisWindow.SetProgress(0, "Loading Network File");
theNeuronArray = new NeuronArray();
XmlSerializer reader1 = new XmlSerializer(typeof(NeuronArray), GetModuleTypes());
theNeuronArray = (NeuronArray)reader1.Deserialize(file);
file.Close();
//the above automatically loads the content of the neuronArray object but can't load the neurons themselves
//because of formatting changes
XmlDocument xmldoc = new XmlDocument();
XmlNodeList neuronNodes;
FileStream fs = new FileStream(fileName, FileMode.Open, FileAccess.Read);
xmldoc.Load(fs);
fs.Close();
int arraySize = theNeuronArray.arraySize;
theNeuronArray.Initialize(arraySize, theNeuronArray.rows);
neuronNodes = xmldoc.GetElementsByTagName("Neuron");
for (int i = 0; i < neuronNodes.Count; i++)
{
var progress = i / (float)neuronNodes.Count;
progress *= 100;
if (progress != 0 && MainWindow.thisWindow.SetProgress(progress, ""))
{
MainWindow.thisWindow.SetProgress(100, "");
return(false);
}
XmlElement neuronNode = (XmlElement)neuronNodes[i];
XmlNodeList idNodes = neuronNode.GetElementsByTagName("Id");
int id = i; //this is a hack to read files where all neurons were included but no Id's
if (idNodes.Count > 0)
{
int.TryParse(idNodes[0].InnerText, out id);
}
if (id == -1)
{
continue;
}
Neuron n = theNeuronArray.GetNeuron(id);
n.Owner = theNeuronArray;
n.id = id;
foreach (XmlElement node in neuronNode.ChildNodes)
{
string name = node.Name;
switch (name)
{
case "Label":
n.Label = node.InnerText;
break;
case "Model":
Enum.TryParse(node.InnerText, out Neuron.modelType theModel);
n.model = theModel;
break;
case "LeakRate":
float.TryParse(node.InnerText, out float leakRate);
n.leakRate = leakRate;
break;
case "AxonDelay":
int.TryParse(node.InnerText, out int axonDelay);
n.axonDelay = axonDelay;
break;
case "LastCharge":
if (n.model != Neuron.modelType.Color)
{
float.TryParse(node.InnerText, out float lastCharge);
n.LastCharge = lastCharge;
n.currentCharge = lastCharge;
}
else //is color
{
int.TryParse(node.InnerText, out int lastChargeInt);
n.LastChargeInt = lastChargeInt;
n.currentCharge = lastChargeInt; //current charge is not used on color neurons
}
break;
case "ShowSynapses":
bool.TryParse(node.InnerText, out bool showSynapses);
if (showSynapses)
{
MainWindow.arrayView.AddShowSynapses(n.id);
}
break;
case "Synapses":
theNeuronArray.SetCompleteNeuron(n);
XmlNodeList synapseNodess = node.GetElementsByTagName("Synapse");
foreach (XmlNode synapseNode in synapseNodess)
{
Synapse s = new Synapse();
foreach (XmlNode synapseAttribNode in synapseNode.ChildNodes)
{
string name1 = synapseAttribNode.Name;
switch (name1)
{
case "TargetNeuron":
int.TryParse(synapseAttribNode.InnerText, out int target);
s.targetNeuron = target;
break;
case "Weight":
float.TryParse(synapseAttribNode.InnerText, out float weight);
s.weight = weight;
break;
case "IsHebbian": //Obsolete: backwards compatibility
bool.TryParse(synapseAttribNode.InnerText, out bool isheb);
if (isheb)
{
s.model = Synapse.modelType.Hebbian1;
}
else
{
s.model = Synapse.modelType.Fixed;
}
break;
case "Model":
Enum.TryParse(synapseAttribNode.InnerText, out Synapse.modelType model);
s.model = model;
break;
}
}
n.AddSynapse(s.targetNeuron, s.weight, s.model);
}
break;
}
}
theNeuronArray.SetCompleteNeuron(n);
}
MainWindow.thisWindow.SetProgress(100, "");
return(true);
}
private static void SynapseEntry_MouseDown(object sender, MouseButtonEventArgs e)
{
if (sender is TextBlock tb0)
{
if (tb0.Parent is StackPanel sp)
{
if (sp.Parent is MenuItem mi)
{
if (mi.Parent is ContextMenu cm)
{
if (tb0.Name == "weight")
{
int sourceID = (int)cm.GetValue(NeuronIDProperty);
if (sp.Children.Count > 1 && sp.Children[1] is TextBlock tb1)
{
int.TryParse(tb1.Text.Substring(0, 8), out int targetID);
if (mi.Header.ToString().Contains("In"))
{
int temp = targetID;
targetID = sourceID;
sourceID = temp;
}
ContextMenu newCm = new ContextMenu();
Neuron n = MainWindow.theNeuronArray.GetNeuron(sourceID);
Synapse s = n.FindSynapse(targetID);
if (s != null)
{
SynapseView.CreateContextMenu(sourceID, s, newCm);
newCm.IsOpen = true;
e.Handled = true;
}
}
}
if (tb0.Name == "neuron")
{
int.TryParse(tb0.Text.Substring(0, 8), out int targetID);
Neuron n1 = MainWindow.theNeuronArray.GetNeuron(targetID);
ContextMenu cm1 = NeuronView.CreateContextMenu(n1.id, n1, new ContextMenu()
{
IsOpen = true,
});
MainWindow.arrayView.targetNeuronIndex = targetID;
Point loc = dp.pointFromNeuron(targetID);
if (loc.X < 0 || loc.X > theCanvas.ActualWidth - cm.ActualWidth ||
loc.Y < 0 || loc.Y > theCanvas.ActualHeight - cm.ActualHeight)
{
MainWindow.arrayView.PanToNeuron(targetID);
loc = dp.pointFromNeuron(targetID);
}
loc.X += dp.NeuronDisplaySize / 2;
loc.Y += dp.NeuronDisplaySize / 2;
loc = MainWindow.arrayView.theCanvas.PointToScreen(loc);
cm1.PlacementRectangle = new Rect(loc.X, loc.Y, 0, 0);
cm1.Placement = System.Windows.Controls.Primitives.PlacementMode.AbsolutePoint;
}
}
}
}
e.Handled = true;
}
}
static void ProcessIncomingMessages(string message)
{
string[] commands = message.Trim().Split(' ');
string command = commands[0];
switch (command)
{
case "PingBack":
GetSystemTimePreciseAsFileTime(out returnTime);
pingCount++;
break;
case "ServerInfo":
int index = serverList.FindIndex(x => x.name == commands[2]);
if (index == -1)
{
Server s = new Server();
IPAddress.TryParse(commands[1], out s.ipAddress);
s.name = commands[2];
int.TryParse(commands[3], out s.firstNeuron);
int.TryParse(commands[4], out s.lastNeuron);
if (commands.Length > 5)
{
int.TryParse(commands[5], out s.neuronsInUse);
}
if (commands.Length > 6)
{
long.TryParse(commands[6], out s.totalSynapses);
}
serverList.Add(s);
index = serverList.Count - 1;
}
break;
case "Done":
index = serverList.FindIndex(x => x.name == commands[1]);
if (index != -1)
{
serverList[index].busy = false;
long.TryParse(commands[2], out serverList[index].generation);
int.TryParse(commands[3], out serverList[index].firedCount);
}
break;
case "Neuron":
Neuron n = new Neuron();
int.TryParse(commands[1], out n.id);
float.TryParse(commands[2], out n.lastCharge);
n.label = commands[3].Replace("_", " ");
bool.TryParse(commands[4], out n.inUse);
tempNeuron = n;
break;
case "Neurons":
int.TryParse(commands[1], out int count);
for (int i = 2; i < commands.Length; i += 4)
{
n = new Neuron();
int.TryParse(commands[i], out n.id);
float.TryParse(commands[i + 1], out n.lastCharge);
n.label = commands[i + 2].Replace("_", " ");
bool.TryParse(commands[i + 3], out n.inUse);
tempNeurons.Add(n);
}
break;
case "Synapses":
int.TryParse(commands[1], out int neuronID);
List <Synapse> synapses = new List <Synapse>();
for (int i = 2; i < commands.Length; i += 3)
{
Synapse s = new Synapse();
int.TryParse(commands[i], out s.targetNeuron);
float.TryParse(commands[i + 1], out s.weight);
int.TryParse(commands[i + 2], out int modelInt);
s.model = (Synapse.modelType)modelInt;
synapses.Add(s);
}
tempSynapses = synapses;
break;
case "SynapsesFrom":
int.TryParse(commands[1], out neuronID);
synapses = new List <Synapse>();
for (int i = 2; i < commands.Length; i += 3)
{
Synapse s = new Synapse();
int.TryParse(commands[i], out s.targetNeuron);
float.TryParse(commands[i + 1], out s.weight);
int.TryParse(commands[i + 2], out int modelInt);
s.model = (Synapse.modelType)modelInt;
synapses.Add(s);
}
tempSynapses = synapses;
break;
}
}
public void theCanvas_MouseDown(object sender, MouseButtonEventArgs e)
{
if (MainWindow.theNeuronArray == null)
{
return;
}
Debug.WriteLine("theCanvas_MouseDown" + MainWindow.theNeuronArray.Generation);
Point currentPosition = e.GetPosition(theCanvas);
LimitMousePostion(ref currentPosition);
mouseDownNeuronIndex = dp.NeuronFromPoint(currentPosition);
if (e.RightButton == MouseButtonState.Pressed)
{
if (sender is Image img)
{
int i = (int)img.GetValue(ModuleView.AreaNumberProperty);
int i1 = -i - 1;
ModuleView nr = new ModuleView
{
Label = "new",
Width = theSelection.selectedRectangles[i1].Width,
Height = theSelection.selectedRectangles[i1].Height,
Color = Utils.ColorToInt(Colors.Aquamarine),
CommandLine = ""
};
img.ContextMenu = new ContextMenu();
ModuleView.CreateContextMenu(i, nr, img, img.ContextMenu);
img.ContextMenu.IsOpen = true;
e.Handled = true;
}
else if (sender is Rectangle r)
{
int i = (int)r.GetValue(ModuleView.AreaNumberProperty);
if (i >= 0)
{
ModuleView nr = MainWindow.theNeuronArray.Modules[i];
r.ContextMenu = new ContextMenu();
ModuleView.CreateContextMenu(i, nr, r, r.ContextMenu);
r.ContextMenu.IsOpen = true;
e.Handled = true;
}
if (i < 0)
{
int i1 = -i - 1;
ModuleView nr = new ModuleView
{
Label = "new",
Width = theSelection.selectedRectangles[i1].Width,
Height = theSelection.selectedRectangles[i1].Height,
Color = Utils.ColorToInt(Colors.Aquamarine),
CommandLine = ""
};
r.ContextMenu = new ContextMenu();
ModuleView.CreateContextMenu(i, nr, r, r.ContextMenu);
r.ContextMenu.IsOpen = true;
e.Handled = true;
}
}
else if (sender is Label l)
{
l.ContextMenu = new ContextMenu();
Neuron n1 = MainWindow.theNeuronArray.GetNeuron(mouseDownNeuronIndex);
NeuronView.CreateContextMenu(mouseDownNeuronIndex, n1, l.ContextMenu);
l.ContextMenu.IsOpen = true;
e.Handled = true;
}
else if (sender is Shape s)
{
if ((s is Path || s is Line ||
(s is Ellipse && (int)s.GetValue(SynapseView.SourceIDProperty) != 0))) // a synapse
{
int source = (int)s.GetValue(SynapseView.SourceIDProperty);
int target = (int)s.GetValue(SynapseView.TargetIDProperty);
float weight = (float)s.GetValue(SynapseView.WeightValProperty);
Neuron n1 = MainWindow.theNeuronArray.GetCompleteNeuron(source);
n1 = MainWindow.theNeuronArray.AddSynapses(n1);
Synapse s1 = n1.FindSynapse(target);
s.ContextMenu = new ContextMenu();
SynapseView.CreateContextMenu(source, s1, s.ContextMenu);
}
else if (s is Ellipse) // a neuron
{
s.ContextMenu = new ContextMenu();
Neuron n1 = MainWindow.theNeuronArray.GetNeuron(mouseDownNeuronIndex);
NeuronView.CreateContextMenu(mouseDownNeuronIndex, n1, s.ContextMenu);
targetNeuronIndex = mouseDownNeuronIndex;
}
if (s.ContextMenu != null)
{
s.ContextMenu.IsOpen = true;
}
e.Handled = true;
}
else
{
}
return;
}
Neuron n = null;
if (mouseDownNeuronIndex >= 0 && mouseDownNeuronIndex < MainWindow.theNeuronArray.arraySize)
{
n = MainWindow.theNeuronArray.GetNeuron(mouseDownNeuronIndex) as Neuron;
}
if (theCanvas.Cursor == Cursors.Cross)
{
// Debug.WriteLine("dragStart" + MainWindow.theNeuronArray.Generation);
if (dragRectangle != null)
{
theCanvas.Children.Remove(dragRectangle);
}
MainWindow.theNeuronArray.SetUndoPoint();
MainWindow.theNeuronArray.AddSelectionUndo();
if (!MainWindow.ctrlPressed)
{
theSelection.selectedRectangles.Clear();
}
else
{
Update();
}
//snap to neuron point
currentPosition = dp.pointFromNeuron(mouseDownNeuronIndex);
//build the draggable selection rectangle
dragRectangle = new Rectangle();
dragRectangle.Width = dragRectangle.Height = dp.NeuronDisplaySize;
dragRectangle.Stroke = new SolidColorBrush(Colors.Red);
dragRectangle.Fill = new SolidColorBrush(Colors.Red);
dragRectangle.Fill.Opacity = 0.5;
Canvas.SetLeft(dragRectangle, currentPosition.X);
Canvas.SetTop(dragRectangle, currentPosition.Y);
theCanvas.Children.Add(dragRectangle);
firstSelectedNeuron = mouseDownNeuronIndex;
lastSelectedNeuron = mouseDownNeuronIndex;
Mouse.Capture(theCanvas);
}
if (theCanvas.Cursor == Cursors.ScrollAll)
{
dragging = true;
MainWindow.theNeuronArray.SetUndoPoint();
}
if (theCanvas.Cursor == Cursors.UpArrow)
{
if (e.ClickCount == 2 && sender is Canvas)
{
//double-click detected
n = MainWindow.theNeuronArray.GetNeuron(mouseDownNeuronIndex);
n.leakRate = -n.leakRate;
n.Update();
}
Mouse.Capture(theCanvas);
if (mouseRepeatTimer == null)
{
mouseRepeatTimer = new DispatcherTimer();
}
if (mouseRepeatTimer.IsEnabled)
{
mouseRepeatTimer.Stop();
}
mouseRepeatTimer.Interval = new TimeSpan(0, 0, 0, 0, 250);
mouseRepeatTimer.Tick += MouseRepeatTimer_Tick;
mouseRepeatTimer.Start();
dragging = true;
targetNeuronIndex = mouseDownNeuronIndex;
}
if (theCanvas.Cursor == Cursors.Hand)
{
StartPan(e.GetPosition((UIElement)theCanvas.Parent));
Mouse.Capture(theCanvas);
}
}
public static bool Load(ref NeuronArray theNeuronArray, string fileName)
{
FileStream file = File.Open(fileName, FileMode.Open);
XmlSerializer reader1 = new XmlSerializer(typeof(NeuronArray), GetModuleTypes());
theNeuronArray = (NeuronArray)reader1.Deserialize(file);
file.Close();
//the above automatically loads the content of the neuronArray object but can't load the neurons themselves
//because of formatting changes
XmlDocument xmldoc = new XmlDocument();
XmlNodeList neuronNodes;
FileStream fs = new FileStream(fileName, FileMode.Open, FileAccess.Read);
xmldoc.Load(fs);
fs.Close();
int arraySize = theNeuronArray.arraySize;
theNeuronArray.Initialize(arraySize);
neuronNodes = xmldoc.GetElementsByTagName("Neuron");
for (int i = 0; i < neuronNodes.Count; i++)
{
var progress = i / (float)neuronNodes.Count;
if (i % 1000 == 0)
{
MainWindow.thisWindow.SetProgress(progress);
}
XmlElement neuronNode = (XmlElement)neuronNodes[i];
XmlNodeList idNodes = neuronNode.GetElementsByTagName("Id");
int id = i; //this is a hack to read files where all neurons were included but no Id's
if (idNodes.Count > 0)
{
int.TryParse(idNodes[0].InnerText, out id);
}
if (id == -1)
{
continue;
}
Neuron n = theNeuronArray.GetNeuron(id);
n.Owner = theNeuronArray;
n.id = id;
foreach (XmlElement node in neuronNode.ChildNodes)
{
string name = node.Name;
switch (name)
{
case "Label":
n.Label = node.InnerText;
break;
case "Model":
Enum.TryParse(node.InnerText, out Neuron.modelType theModel);
n.model = theModel;
break;
case "LeakRate":
float.TryParse(node.InnerText, out float leakRate);
n.leakRate = leakRate;
break;
case "AxonDelay":
int.TryParse(node.InnerText, out int axonDelay);
n.axonDelay = axonDelay;
break;
case "LastCharge":
if (n.model != Neuron.modelType.Color)
{
float.TryParse(node.InnerText, out float lastCharge);
n.LastCharge = lastCharge;
n.currentCharge = lastCharge;
}
else //is color
{
int.TryParse(node.InnerText, out int lastChargeInt);
n.LastChargeInt = lastChargeInt;
n.currentCharge = lastChargeInt; //current charge is not used on color neurons
}
break;
case "ShowSynapses":
bool.TryParse(node.InnerText, out bool showSynapses);
if (showSynapses)
{
MainWindow.arrayView.AddShowSynapses(n.id);
}
break;
case "Synapses":
theNeuronArray.SetCompleteNeuron(n);
XmlNodeList synapseNodess = node.GetElementsByTagName("Synapse");
foreach (XmlNode synapseNode in synapseNodess)
{
Synapse s = new Synapse();
foreach (XmlNode synapseAttribNode in synapseNode.ChildNodes)
{
string name1 = synapseAttribNode.Name;
switch (name1)
{
case "TargetNeuron":
int.TryParse(synapseAttribNode.InnerText, out int target);
s.targetNeuron = target;
break;
case "Weight":
float.TryParse(synapseAttribNode.InnerText, out float weight);
s.weight = weight;
break;
case "IsHebbian": //Obsolete: backwards compatibility
bool.TryParse(synapseAttribNode.InnerText, out bool isheb);
if (isheb)
{
s.model = Synapse.modelType.Hebbian1;
}
else
{
s.model = Synapse.modelType.Fixed;
}
break;
case "Model":
Enum.TryParse(synapseAttribNode.InnerText, out Synapse.modelType model);
s.model = model;
break;
}
}
n.AddSynapse(s.targetNeuron, s.weight, s.model);
}
break;
}
}
theNeuronArray.SetCompleteNeuron(n);
}
MainWindow.thisWindow.SetProgress(-1);
return(true);
}
