public void RandomTest()
{
var expected = new[] { 5, 8, 21, 37, 46, 6, 8 };
var data = _combination.GetIndexOf(expected, Comparer <int> .Default);
var actual = _combination.Element(data);
Assert.IsTrue(expected.SequenceEqual(actual));
}
private long CombIndex(int[] ballsArray)
{
var comparer = Comparer <int> .Default;
if (_choice == Choice.Main)
{
return((long)_model.GetIndexOf(ballsArray.Take(_model.ChosenElements).ToArray(), comparer));
}
return((long)_model.GetIndexOf(ballsArray.Skip(ballsArray.Length - _model.ChosenElements).ToArray(), comparer));
}
public int VortexDegree(int[] balls, ICombination <int> model)
{
long index = (long)model.GetIndexOf(balls, Comparer <int> .Default);
long circle = model.TotalCombinations < 360 ? index / 9 : index / 360;
return((int)(index - (circle * GetMax(model.TotalCombinations))));
}
public int VortexCircleLevel(int[] balls, ICombination <int> model)
{
long index = (long)model.GetIndexOf(balls, Comparer <int> .Default);
long circle = index / GetMax(model.TotalCombinations);
return((int)circle);
}
public List <IData> ToPatternMatches(BaseData <int>[] toArray, ICombination <int> model)
{
decimal index = model.GetIndexOf(toArray.Select(x => x.Data).ToArray(), Comparer <int> .Default);
int[] actual = model.Element(index);
Dictionary <string, string> patterns =
new Dictionary <string, string>
{
{ FeatureNames.FiboPattern, GetFiboPattern(actual) },
{ FeatureNames.PrimePattern, GetPrimePattern(actual) },
{ FeatureNames.PrimeCount, GetCount(GetPrimePattern(actual), model) },
{ FeatureNames.FiboCount, GetCount(GetFiboPattern(actual), model) }
};
return(patterns.Select(x => new FeatureData <string>(x.Key, x.Value) as IData).ToList());
}
public List <IData> ToFibIndexs(BaseData <int>[] toArray, ICombination <int> model)
{
long index = (long)model.GetIndexOf(toArray.Select(x => x.Data).ToArray(), Comparer <int> .Default);
return(FibIndexs(index));
}
public long CombIndex(int[] ballsArray, ICombination <int> model)
{
return((long)model.GetIndexOf(ballsArray, Comparer <int> .Default));
}
