namespace HeuristicLab.BenchmarkSuite.Problems {
  using HeuristicLab.Problems.ProgramSynthesis.Base.Erc.Float;
  using HeuristicLab.Problems.ProgramSynthesis.Base.Erc.Integer;

  public class WallisPi : BenchmarkSuiteDataDescriptor {
    private const string name = "Wallis Pi - Hard";
    private const string fileName = "WallisPi.csv";
    private const string description = " John Wallis gave a infinite product that converges to π/4. Given an integer input n, compute an approximation of this product out to n terms.Results are rounded to 5 decimal place";

    protected override string FileName { get { return fileName; } }
    public override string Name { get { return name; } }
    public override string Description { get { return description; } }
    protected override int InputArgumentCount { get { return 1; } }
    protected override int OutputArgumentCount { get { return 1; } }

    public override ProblemData CreateProblemData() {
      return new ProblemData(ProblemType.WallisPi) {
        Name = Name,
        Description = Description,
        Examples = CloneExamples(),
        BestResult = 0,
        WorstResult = 1,
        InputArgumentTypes = new[] { ExampleArgumentType.Integer },
        OutputArgumentTypes = new[] { ExampleArgumentType.Float },
        TrainingCount = 150,
        TestCount = 50,
        EnabledDataTypes = DataTypes.Exec | DataTypes.Integer | DataTypes.Float | DataTypes.Boolean,
        MaxSize = 600,
        EvalLimit = 8000,
        ErcOptions = {
          ErcProbability = 0.05,
          FloatErcOptions = new FloatErcOptions(
            new FloatRangeErc(-500, 500)),
          IntegerErcOptions = new IntegerErcOptions(
            new IntegerRangeErc(-500, 500))
        }
      };
    }

    protected override Example ParseExample(string[] input, string[] output) {
      return new Example {
        InputArgs = input,
        OutputArgs = output,
        InputInteger = ExampleArgumentConverter.ConvertIntegers(input),
        OutputFloat = ExampleArgumentConverter.ConvertDoubles(output),
        OutputFloatPrecision = 5
      };
    }
  }
}