#region License Information
/* HeuristicLab
* Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.SurrogateProblem {
[StorableClass]
[Item("ManhattenDistance", "A distance function that uses Block distance")]
public class ManhattenDistance : DistanceBase> {
#region HLConstructors
[StorableConstructor]
protected ManhattenDistance(bool deserializing) : base(deserializing) { }
protected ManhattenDistance(ManhattenDistance original, Cloner cloner)
: base(original, cloner) { }
public ManhattenDistance() { }
public override IDeepCloneable Clone(Cloner cloner) {
return new ManhattenDistance(this, cloner);
}
#endregion
public static double GetDistance(IReadOnlyList point1, IReadOnlyList point2) {
if (point1.Count != point2.Count) throw new ArgumentException("Manhatten distance not defined on vectors of different length");
return point1.Zip(point2, (a1, b1) => Math.Abs(a1 - b1)).Sum();
}
public static double GetDistance(IEnumerable a, IEnumerable b, double threshold) {
double sum = 0;
var it1 = a.GetEnumerator();
var it2 = b.GetEnumerator();
while (sum > threshold && it1.MoveNext() && it2.MoveNext()) {
sum += Math.Abs(it1.Current - it2.Current);
}
it1.Dispose();
it2.Dispose();
return sum;
}
public override double Get(IReadOnlyList a, IReadOnlyList b) {
return GetDistance(a, b);
}
public override double Get(IReadOnlyList a, IReadOnlyList b, double threshold) {
return GetDistance(a, b, threshold);
}
}
}