public static string GetRandomItem(uint level, double bonus = 0, RandomItemType rt = RandomItemType.Any)
{
uint n = (uint)(level + Math.Sqrt(bonus / 50));
var rate = 0.0007671 * Math.Pow(n, 2) - 0.1537 * n;
var pow = Math.Pow(Math.E, rate);
var loc = 15000 * 1.13 / (1 + 299 * pow);
var scale = Math.Pow(n, 2.26);
var shape = 0.1 - n / 200;
var dist = new Accord.Statistics.Distributions.Univariate.GeneralizedParetoDistribution(loc, scale, shape);
var value = dist.Generate();
var allItems = itemsDatabase.Values.OrderByDescending(d => d.Price);
var it = allItems.Where(i => i.Price <= value &&
(rt == RandomItemType.Artifact ? i.IsArtifact : true) &&
(rt == RandomItemType.NonArtifact ? !i.IsArtifact : true));
Item price = allItems.OrderBy(i => i.Price).Take(10).Random();
if (it != null && it.Count() >= 5)
{
price = it.TakeWhile(i => i.Price <= it.First().Price * 0.9).Union(it.Take(5)).Random();
}
return(price.Name);
}
public static string GetRandomItem(uint level, RandomItemType rt = RandomItemType.Any)
{
uint n = Math.Max(level, 1);
n = Math.Min(n, 100);
var rate = 0.0007671 * Math.Pow(n, 2) - 0.1537 * n;
var pow = Math.Pow(Math.E, rate);
var loc = 11000 * 1.13 / (1 + 299 * pow);
var scale = Math.Pow(n, 2.2055);
var shape = 0.1 - n / 200;
var dist = new Accord.Statistics.Distributions.Univariate.GeneralizedParetoDistribution(loc, scale, shape);
var value = dist.Generate();
foreach (int i in new[] { 5000, 10000, 15000, 20000, 25000, 30000, 35000 })
{
Console.WriteLine($"{i}: {(1 - dist.DistributionFunction(i)) * 100}%");
}
var allItems = itemsDatabase.Values.OrderByDescending(d => d.Price);
var it = allItems.Where(i => i.Price <= value &&
(rt != RandomItemType.Artifact || i.IsArtifact) &&
(rt != RandomItemType.NonArtifact || !i.IsArtifact));
Item price = allItems.OrderBy(i => i.Price).Take(10).Random();
if (it != null && it.Count() >= 5)
{
price = it.TakeWhile(i => i.Price <= it.First().Price * 0.9).Union(it.Take(5)).Random();
}
return(price.Name);
}
