public void AddTransition(NodeChain <T> from, Node <T> to, int weight = 1)
{
// TODO: Verify all nodes are present in model's sets
var toNode = to.Value != null?AddNode(to.Value) : to;
var fromChain = new NodeChain <T>();
foreach (var node in from)
{
if (node.Value == null)
{
fromChain.Add(node);
}
else
{
fromChain.Add(AddNode(node.Value));
}
}
if (Transitions.ContainsKey(from))
{
if (Transitions[from].ContainsKey(to))
{
Transitions[from][to].Weight += weight;
}
else
{
var transition = new Transition <T>()
{
Chain = from,
EndState = to,
Weight = weight
};
Transitions[from].Add(to, transition);
}
}
else
{
var transitions = new Dictionary <Node <T>, Transition <T> >
{
{
to,
new Transition <T>()
{
Chain = from,
EndState = to,
Weight = weight
}
}
};
Transitions.Add(from, transitions);
}
}
public static NodeChain <T> ToChain <T>(this Node <T> node)
{
var chain = new NodeChain <T>();
chain.Add(node);
return(chain);
}
public static NodeChain <T> ToChain <T>(this IEnumerable <Node <T> > list)
{
var chain = new NodeChain <T>();
foreach (var item in list)
{
chain.Add(item);
}
return(chain);
}
public List <T> GenerateRandomChain(Random random)
{
var randomWalk = new NodeChain <T>();
Node <T> currentState = GetNext(randomWalk, random);
while (currentState.Type != NodeType.End)
{
randomWalk.Add(currentState);
currentState = GetNext(randomWalk, random);
}
return(randomWalk.Select(s => s.Value).ToList());
}