using System.Collections.Generic; namespace HeuristicLab.Algorithms.DataAnalysis.ContinuedFractionRegression { public class Agent { public ContinuedFraction pocket; public double pocketObjValue; public ContinuedFraction current; public double currentObjValue; public IList children = new List(); public IEnumerable IterateLevels() { var agents = new List() { this }; int i = 0; while (i < agents.Count) { var p = agents[i]; foreach (var child in p.children) agents.Add(child); i++; } return agents; } public IEnumerable IteratePostOrder() { var agents = new List(); IteratePostOrderRec(this, agents); return agents; } public IEnumerable IteratePreOrder() { var agents = new List(); IteratePreOrderRec(this, agents); return agents; } internal void MaintainInvariant() { foreach (var child in children) { MaintainInvariant(parent: this, child); } if (currentObjValue < pocketObjValue) { Swap(ref pocket, ref current); Swap(ref pocketObjValue, ref currentObjValue); } } private static void MaintainInvariant(Agent parent, Agent child) { if (child.pocketObjValue < parent.pocketObjValue) { Swap(ref child.pocket, ref parent.pocket); Swap(ref child.pocketObjValue, ref parent.pocketObjValue); } } private void IteratePostOrderRec(Agent agent, List agents) { foreach (var child in agent.children) { IteratePostOrderRec(child, agents); } agents.Add(agent); } private void IteratePreOrderRec(Agent agent, List agents) { agents.Add(agent); foreach (var child in agent.children) { IteratePreOrderRec(child, agents); } } private static void Swap(ref T a, ref T b) { var temp = a; a = b; b = temp; } } }