CWX
57 lines
1.8 KiB
C#
57 lines
1.8 KiB
C#
namespace Core.Helpers;
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public class WeightedRandomHelper
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{
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public WeightedRandomHelper()
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{
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}
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/// <summary>
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/// Choos an item from the passed in array based on the weightings of each
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/// </summary>
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/// <param name="itemArray">Items and weights to use</param>
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/// <returns>Chosen item from array</returns>
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public T GetWeightedValue<T>(Dictionary<string, object> itemArray)
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{
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throw new NotImplementedException();
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}
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/// <summary>
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/// Picks the random item based on its weight.
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/// The items with higher weight will be picked more often (with a higher probability).
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///
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/// For example:
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/// - items = ['banana', 'orange', 'apple']
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/// - weights = [0, 0.2, 0.8]
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/// - weightedRandom(items, weights) in 80% of cases will return 'apple', in 20% of cases will return
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/// 'orange' and it will never return 'banana' (because probability of picking the banana is 0%)
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///
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/// </summary>
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/// <param name="items">List of items</param>
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/// <param name="weights">List of weights</param>
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/// <returns>Dictionary with item and index</returns>
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public Dictionary<string, object> WeightedRandom(List<object> items, List<double> weights)
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{
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throw new NotImplementedException();
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}
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/// <summary>
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/// Find the greated common divisor of all weights and use it on the passed in dictionary
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/// </summary>
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/// <param name="weightedDict">Values to reduce</param>
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public void ReduceWeightValues(Dictionary<string, double> weightedDict)
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{
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throw new NotImplementedException();
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}
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protected double CommonDivisor(List<double> numbers)
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{
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throw new NotImplementedException();
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}
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protected double Gcd(double a, double b)
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{
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throw new NotImplementedException();
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}
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}
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