public string pickupAbstractionNew()
{
List <float> finalValues = new List <float> ();
List <float> finalValuesTmp = new List <float> ();
for (int i = 0; i < samplesDeltaMeasures.Count; i++)
{
string abstrName = abstractions.Keys.ToList() [i];
float scaleValue = abstractions[abstrName].scale;
int numOfItems = Mathf.FloorToInt((Camera.main.orthographicSize * 2f) / (scaleValue * 300f));
float val = 0;
for (int j = 0; j < characteristics.Count; j++)
{
Abstraction abstr = abstractions[abstractions.Keys.ToList()[i]];
float abstrWeight = abstr.DimensionWeight(layouter.GetRequiredSpatialDimension());
float increment = samplesDeltaMeasures[i][j] * characteristics[j].weight;
if (abstrWeight > 0)
{
val += increment;
}
else
{
val = float.MaxValue;
}
}
finalValues.Add((val + (1f / numOfItems)));
finalValuesTmp.Add((val + (1f / numOfItems)));
}
finalValues.Sort();
int resultIndex = finalValuesTmp.IndexOf(finalValues [0]);
return(abstractions.Keys.ToList() [resultIndex]);
}
