public double MakeValue(VarianceModel variance, double progress)
{
var isTopHalf = GetRandom() >= 0.5 ? -1 : 1;
var randomnessComponent = Math.Pow(GetRandom(), isTopHalf * variance.Randomness);
var progressionComponent = Math.Pow(progress, variance.Progression);
var desiredValue = randomnessComponent * progressionComponent;
var normalizedValue = Math.Min(1, desiredValue);
return(normalizedValue);
}
public ActionResult UpsertVariance(VarianceModel model)
{
Guid calculationId;
if (!Guid.TryParse(model.calculation.id, out calculationId))
{
return(Json(new { model.id, sucess = false }, JsonRequestBehavior.DenyGet));
}
var id = model.id;
var update = true;
var variance =
context.Variances.Find(id) ??
context.Variances
.FirstOrDefault(v =>
(v.CalculationId == calculationId) &&
(v.ColumnName == model.columnName));
if (variance == null)
{
update = false;
variance = context.Variances.Create();
}
variance.CalculationId = calculationId;
variance.ColumnName = model.columnName;
variance.MaxValue = (model.minValue > model.maxValue) ? model.minValue : model.maxValue;
variance.MinValue = (model.maxValue < model.minValue) ? model.maxValue : model.minValue;
if (!update)
{
variance = context.Variances.Add(variance);
}
context.SaveChanges();
return(Json(new { id = variance.Id, sucess = true }, JsonRequestBehavior.DenyGet));
}
public double ProportionAlong(VarianceModel variance, double progress, double minValue, double maxValue) => minValue + MakeValue(variance, progress) * (maxValue - minValue);
