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Weighted Random Selection With Limited Allocations - a modified implementation of the solution found at http://programmers.stackexchange.com/a/150642/244423
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/// <summary> | |
/// Selects a random element from input list using the allocations remaining to sway selection | |
/// T must have AllocationRemaining, Weight and Id properties on it. | |
/// </summary> | |
public T SelectRandom<T>(List<T> objects) | |
{ | |
int totalWeight = 0; | |
T selected = default(T); | |
foreach (T obj in objects) | |
{ | |
int weight = data.AllocationsRemaining; | |
if (weight == 0) continue; | |
int r = new Random().Next(totalWeight + weight); | |
if (r >= totalWeight) | |
selected = data; | |
totalWeight += weight; | |
} | |
if (selected == default(T)) | |
return objects.Where(t => t.Weight > 0).RandomElement(); | |
objects.First(t => t.Id == selected.Id).AllocationsRemaining--; | |
return selected; | |
} | |
/// <summary> | |
/// Allocating depending on weights, for the method above | |
/// </summary> | |
public void Allocate<T>(List<t> objects, int totalAllocations) | |
{ | |
double totalSegments = objects.Sum(t => t.Weight); | |
double allocationsPerSegment = totalAllocations / totalSegments; | |
foreach (T obj in objects) | |
{ | |
obj.AllocationsRemaining = Convert.ToInt16(Math.Round(obg.Weight * allocationsPerSegment, MidpointRounding.AwayFromZero)); | |
} | |
} |
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