using System.Diagnostics.CodeAnalysis; using System.Linq; using Content.Shared.Dataset; using Content.Shared.FixedPoint; using Robust.Shared.Random; namespace Content.Shared.Random.Helpers { public static class SharedRandomExtensions { public static string Pick(this IRobustRandom random, DatasetPrototype prototype) { return random.Pick(prototype.Values); } /// /// Randomly selects an entry from , attempts to localize it, and returns the result. /// public static string Pick(this IRobustRandom random, LocalizedDatasetPrototype prototype) { var index = random.Next(prototype.Values.Count); return Loc.GetString(prototype.Values[index]); } public static string Pick(this IWeightedRandomPrototype prototype, System.Random random) { var picks = prototype.Weights; var sum = picks.Values.Sum(); var accumulated = 0f; var rand = random.NextFloat() * sum; foreach (var (key, weight) in picks) { accumulated += weight; if (accumulated >= rand) { return key; } } // Shouldn't happen throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!"); } public static string Pick(this IWeightedRandomPrototype prototype, IRobustRandom? random = null) { IoCManager.Resolve(ref random); var picks = prototype.Weights; var sum = picks.Values.Sum(); var accumulated = 0f; var rand = random.NextFloat() * sum; foreach (var (key, weight) in picks) { accumulated += weight; if (accumulated >= rand) { return key; } } // Shouldn't happen throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!"); } public static T Pick(this IRobustRandom random, Dictionary weights) where T: notnull { var sum = weights.Values.Sum(); var accumulated = 0f; var rand = random.NextFloat() * sum; foreach (var (key, weight) in weights) { accumulated += weight; if (accumulated >= rand) { return key; } } throw new InvalidOperationException("Invalid weighted pick"); } public static T PickAndTake(this IRobustRandom random, Dictionary weights) where T : notnull { var pick = Pick(random, weights); weights.Remove(pick); return pick; } public static bool TryPickAndTake(this IRobustRandom random, Dictionary weights, [NotNullWhen(true)] out T? pick) where T : notnull { if (weights.Count == 0) { pick = default; return false; } pick = PickAndTake(random, weights); return true; } public static T Pick(Dictionary weights, System.Random random) where T : notnull { var sum = weights.Values.Sum(); var accumulated = 0f; var rand = random.NextFloat() * sum; foreach (var (key, weight) in weights) { accumulated += weight; if (accumulated >= rand) { return key; } } throw new InvalidOperationException("Invalid weighted pick"); } public static (string reagent, FixedPoint2 quantity) Pick(this WeightedRandomFillSolutionPrototype prototype, IRobustRandom? random = null) { var randomFill = prototype.PickRandomFill(random); IoCManager.Resolve(ref random); var sum = randomFill.Reagents.Count; var accumulated = 0f; var rand = random.NextFloat() * sum; foreach (var reagent in randomFill.Reagents) { accumulated += 1f; if (accumulated >= rand) { return (reagent, randomFill.Quantity); } } // Shouldn't happen throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!"); } public static RandomFillSolution PickRandomFill(this WeightedRandomFillSolutionPrototype prototype, IRobustRandom? random = null) { IoCManager.Resolve(ref random); var fills = prototype.Fills; Dictionary picks = new(); foreach (var fill in fills) { picks[fill] = fill.Weight; } var sum = picks.Values.Sum(); var accumulated = 0f; var rand = random.NextFloat() * sum; foreach (var (randSolution, weight) in picks) { accumulated += weight; if (accumulated >= rand) { return randSolution; } } // Shouldn't happen throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!"); } } }