using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Data;
using HeuristicLab.Common;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Core;

namespace HeuristicLab.Problems.MetaOptimization {
  [StorableClass]
  public class IntValueRange : Range<IntValue> {

    public IntValueRange(IntValue lowerBound, IntValue upperBound, IntValue stepSize) : base(lowerBound, upperBound, stepSize) { }
    public IntValueRange() { }
    [StorableConstructor]
    protected IntValueRange(bool deserializing) : base(deserializing) { }
    protected IntValueRange(IntValueRange original, Cloner cloner) : base(original, cloner) { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new IntValueRange(this, cloner);
    }

    protected override IntValue GetRandomSample(IRandom random) {
      int val;
      do {
        val = random.Next(LowerBound.Value / StepSize.Value, UpperBound.Value / StepSize.Value + 1) * StepSize.Value;
      } while (val < LowerBound.Value || val > UpperBound.Value);
      return new IntValue(val);
    }

    public void Fix(IntValue value) {
      // apply stepsize
      value.Value = ((int)Math.Round(value.Value / (double)this.StepSize.Value, 0)) * this.StepSize.Value;

      // repair bounds
      if (value.Value > this.UpperBound.Value) value.Value = this.UpperBound.Value;
      if (value.Value < this.LowerBound.Value) value.Value = this.LowerBound.Value;
    }

    public override IEnumerable<IntValue> GetCombinations() {
      var solutions = new List<IntValue>();
      int value = (this.LowerBound.Value / StepSize.Value) * StepSize.Value;
      if (value < this.LowerBound.Value) value += StepSize.Value;

      while (value <= this.UpperBound.Value) {
        solutions.Add(new IntValue(value));
        value += this.StepSize.Value;
      }
      return solutions;
    }
  }
}