public NetworkLayoutRecord(
BayesianNetwork network,
NetworkLayout layout,
NetworkLayoutOptions options)
{
Debug.Assert(options != null, "Layout options cannot be null.");
this.Network = network;
this.NetworkLayout = layout;
this.Options = options;
// Manually specify sizes.
Dictionary <string, float> sizes = new Dictionary <string, float>();
foreach (var v in network.Variables)
{
sizes[v.Key] = Workbench.NetworkLayoutVertexSizeNormal;
}
// Instantiate algorithm.
AlgorithmState = new LayoutAlgorithm(network.Clone(), sizes, options);
// Copy existing positions over.
if (layout != null && layout.Positions != null && layout.Positions.Count > 0)
{
foreach (var kvp in layout.Positions)
{
AlgorithmState.Positions[kvp.Key] = kvp.Value;
}
}
}
public LayoutAlgorithm(
BayesianNetwork network,
IDictionary <string, float> sizes,
NetworkLayoutOptions options)
{
this.BayesianNetwork = network;
this.Positions = new Dictionary <string, Point>();
this._sizes = new Dictionary <string, Size>();
this._options = options;
foreach (var kvp in sizes)
{
this._sizes[kvp.Key] = new Size(kvp.Value, kvp.Value);
}
}
private void xButtonApply_Click(object sender, RoutedEventArgs e)
{
var algorithm = NetworkLayoutOptions.AlgorithmEnum.SugiyamaEfficient;
float nodeSeparationTarget = float.Parse(this.xNodeSeparationTargetTextBox.Text);
int epochs = (int)Math.Round(float.Parse(this.xEpochsTextBox.Text));
float nodeSize = float.Parse(this.xNodeSizeTextBox.Text);
float edgeThickness = float.Parse(this.xEdgeThickness.Text);
var layoutOptions
= new NetworkLayoutOptions(
algorithm,
nodeSeparationTarget,
epochs,
nodeSize,
edgeThickness);
App.Current.MainWindow.RequestLayoutOptions(layoutOptions);
}
public NetworkLayoutRecord(
BayesianNetwork network,
NetworkLayout existingLayout,
IList <string> interestVertices,
NetworkLayoutOptions options)
{
Debug.Assert(options != null, "Layout options cannot be null.");
this.Network = network;
this.NetworkLayout = existingLayout;
this.InterestVertices = interestVertices.ToList();
this.Options = options;
// Manually specify sizes.
Dictionary <string, float> sizes = new Dictionary <string, float>();
foreach (var v in network.Variables)
{
if (!interestVertices.Contains(v.Key))
{
sizes[v.Key] = Workbench.NetworkLayoutVertexSizeMinimized;
}
else
{
sizes[v.Key] = Workbench.NetworkLayoutVertexSizeNormal;
}
}
this.AlgorithmState = new LayoutAlgorithm(network.Clone(), sizes, options);
// Copy existing positions over.
if (existingLayout != null && existingLayout.Positions != null && existingLayout.Positions.Count > 0)
{
foreach (var kvp in existingLayout.Positions)
{
AlgorithmState.Positions[kvp.Key] = kvp.Value;
}
}
}
internal void RequestLayoutOptions(NetworkLayoutOptions options)
{
Debug.Assert(options != null);
this.Model.NetworkLayoutOptions = options;
}
public NetworkLayoutRecord(
BayesianNetwork network,
NetworkLayout existingLayout,
IList<string> interestVertices,
NetworkLayoutOptions options)
{
Debug.Assert(options != null, "Layout options cannot be null.");
this.Network = network;
this.NetworkLayout = existingLayout;
this.InterestVertices = interestVertices.ToList();
this.Options = options;
// Manually specify sizes.
Dictionary<string, float> sizes = new Dictionary<string, float>();
foreach (var v in network.Variables)
{
if (!interestVertices.Contains(v.Key))
{
sizes[v.Key] = Workbench.NetworkLayoutVertexSizeMinimized;
}
else
{
sizes[v.Key] = Workbench.NetworkLayoutVertexSizeNormal;
}
}
this.AlgorithmState = new LayoutAlgorithm(network.Clone(), sizes, options);
// Copy existing positions over.
if (existingLayout != null && existingLayout.Positions != null && existingLayout.Positions.Count > 0)
{
foreach (var kvp in existingLayout.Positions)
{
AlgorithmState.Positions[kvp.Key] = kvp.Value;
}
}
}
public NetworkLayoutRecord(
BayesianNetwork network,
NetworkLayout layout,
NetworkLayoutOptions options)
{
Debug.Assert(options != null, "Layout options cannot be null.");
this.Network = network;
this.NetworkLayout = layout;
this.Options = options;
// Manually specify sizes.
Dictionary<string, float> sizes = new Dictionary<string, float>();
foreach (var v in network.Variables)
{
sizes[v.Key] = Workbench.NetworkLayoutVertexSizeNormal;
}
// Instantiate algorithm.
AlgorithmState = new LayoutAlgorithm(network.Clone(), sizes, options);
// Copy existing positions over.
if (layout != null && layout.Positions != null && layout.Positions.Count > 0)
{
foreach (var kvp in layout.Positions)
{
AlgorithmState.Positions[kvp.Key] = kvp.Value;
}
}
}
public LayoutAlgorithm(
BayesianNetwork network,
IDictionary<string, float> sizes,
NetworkLayoutOptions options)
{
this.BayesianNetwork = network;
this.Positions = new Dictionary<string, Point>();
this._sizes = new Dictionary<string, Size>();
this._options = options;
foreach (var kvp in sizes)
{
this._sizes[kvp.Key] = new Size(kvp.Value, kvp.Value);
}
}
public void SetLayoutOptions(object options)
{
if (options == null)
{
throw new ArgumentNullException();
}
// HACK
this._layoutOptions = (NetworkLayoutOptions)options;
this.UpdateNodeSizes();
}
