A concise C# library for effortless random selection of items from a list, each with its own probability. Perfect for scenarios requiring diverse likelihoods in a simple and efficient package.
Various examples have been provided in this repo using CLI, WPF, etc.
In a nutshell:
- Create an array of
Option<T>.- Each option consists of a
Valueof typeTand an integer representing itsWeight. - For example:
new Option<char>('A', 10)creates an Option for the characterAwith a weight of 10. - Weights are relative to one another. For example, the set of weights [10, 20, 40] is equivalent to [1, 2, 4] or [30, 40, 120], they all give the first entry a 14% change, the second entry a 28% chance, and the third entry a 57% chance.
- Each option consists of a
- Give that array to a new instance of
WeightedRandomizer<T>.- You may optionally provide a specific seed value as well. Otherwise the default seed value for
System.Randomis used
- You may optionally provide a specific seed value as well. Otherwise the default seed value for
- Call the method
Next()and consume the returned value however you wish.
var options = new []
{
new Option<char>('A', 10),
new Option<char>('B', 30),
new Option<char>('C', 10),
};
var weightedRandom = new WeightedRandomizer<char>(options);
Option<char> selection = weightedRandom.Next();
- 1.0.1
- WeightedRandomizer can now receive options as any ICollection, instead of only as an array
- 1.0.0
- Initial Release
This project is licensed under the MIT License - see the LICENSE.md file for details