source: branches/2679_HeuristicLab.GoalSeekingProblem/HeuristicLab.GoalSeekingProblem/3.4/GoalParameter.cs @ 16460

#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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.GoalSeeking {
  [Item("GoalParameter", "An object describing a tunable parameter used in goal seeking.")]
  [StorableClass]
  public class GoalParameter : NamedItem {
    [Storable]
    private double goal;
    public double Goal {
      get { return goal; }
      set {
        if (double.IsNaN(value) || double.IsInfinity(value)) return;
        if (goal.IsAlmost(value)) return;
        goal = value;
        OnChanged(this, EventArgs.Empty);
      }
    }

    [Storable]
    private double weight;
    public double Weight {
      get { return weight; }
      set {
        if (double.IsNaN(value) || double.IsInfinity(value)) return;
        if (weight.IsAlmost(value)) return;
        weight = value;
        OnChanged(this, EventArgs.Empty);
      }
    }

    [Storable]
    private double variance;

    public double Variance {
      get { return variance; }
      set {
        if (double.IsNaN(value) || double.IsInfinity(value)) return;
        if (variance.IsAlmost(value)) return;
        variance = value;
        OnChanged(this, EventArgs.Empty);
      }
    }

    [Storable]
    private double step;
    public double Step {
      get { return step; }
      set {
        if (double.IsNaN(value) || double.IsInfinity(value)) return;
        if (step.IsAlmost(value)) return;
        step = value;
        OnChanged(this, EventArgs.Empty);
      }
    }

    [Storable]
    private bool active;
    public bool Active {
      get { return active; }
      set {
        if (active == value) return;
        active = value;
        OnChanged(this, EventArgs.Empty);
      }
    }

    public override string ToString() {
      return string.Format("{0} [active: {1}; goal: {2}; weight: {3}; variance: {4}; step: {5}", Name, Active, Goal, Weight, Variance, Step);
    }

    protected GoalParameter(GoalParameter original, Cloner cloner) : base(original, cloner) {
      name = original.name;
      goal = original.goal;
      weight = original.weight;
      variance = original.variance;
      step = original.step;
      active = original.active;
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new GoalParameter(this, cloner);
    }

    [StorableConstructor]
    protected GoalParameter(bool deserializing) : base(deserializing) { }

    public GoalParameter(string name, double goal, double weight, double variance, double step, bool active = true) {
      this.name = name;
      this.goal = goal;
      this.weight = weight;
      this.variance = variance;
      this.step = step;
      this.active = active;
    }

    public event EventHandler Changed;
    private void OnChanged(object sender, EventArgs args) {
      var changed = Changed;
      if (changed == null) return;
      changed(sender, args);
    }
  }
}