public void AddNode(basicNode node)
{
//this.variables.Add(node.Name);
this.name2Node.Add(node.Name, node);
}
private static Network CreateNetwork(string filePath)
{
string[] lines = File.ReadAllLines(filePath);
int n = int.Parse(lines[0].Split(' ')[1]);
lines = lines.Skip(1).ToArray();
Network network = new Network();
for (int i = 0; i < n; i++)
{
checkValitidy(lines);
var parts = lines[0].Split(' ');
string type = parts.Last();
string name = parts[1];
parts = lines[1].Split(' ');
List <string> parents = parts.Skip(1).ToList();
basicNode node = null;
if (type == "boolean")
{
node = new regularNode();
node.values = new List <object> {
"true", "false"
};
}
if (type == "multie")
{
node = new regularNode();
parts = lines[2].Split(' ');
node.values = parts.Skip(1).Select(x => (object)x).ToList();
}
if (type == "noisyOR")
{
node = new noisyORNode();
node.values = new List <object> {
"true", "false"
};
}
node.Name = name;
node.ParentsNames = parents;
network.AddNode(node);
if (type == "noisyOR")
{
var disturbution = lines[3].Split(' ').Skip(1).Select(x => double.Parse(x));
((noisyORNode)node).AddProbabilities(disturbution.ToArray());
lines = lines.Skip(5).ToArray();
}
else
{
int distLines = int.Parse(lines[3].Split(' ')[1]);
((regularNode)node).CreateProbabiltyTable();
for (int j = 0; j < distLines; j++)
{
parts = lines[4 + j].Split(' ');
if (type == "boolean")
{
double p = double.Parse(parts.Last());
Dictionary <string, object> parentsVals = getParentsVals(parts.Take(parts.Length - 1));
((regularNode)node).AddProbabiltyRow("true", p, parentsVals);
((regularNode)node).AddProbabiltyRow("false", 1 - p, parentsVals);
}
if (type == "multie")
{
double p = double.Parse(parts.Last());
Dictionary <string, object> parentsVals = getParentsVals(parts.Take(parts.Length - 2));
((regularNode)node).AddProbabiltyRow(parts[parts.Length - 2], p, parentsVals);
}
}
lines = lines.Skip(4 + distLines + 1).ToArray();
}
}
return(network);
}
