* catching * fix * improve * fix linter * cleanup * fix prediction * do the same here * fix comment
209 lines
6.4 KiB
C#
209 lines
6.4 KiB
C#
using System.Diagnostics.CodeAnalysis;
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using System.Linq;
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using Content.Shared.Dataset;
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using Content.Shared.FixedPoint;
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using Robust.Shared.Random;
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namespace Content.Shared.Random.Helpers
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{
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public static class SharedRandomExtensions
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{
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public static string Pick(this IRobustRandom random, DatasetPrototype prototype)
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{
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return random.Pick(prototype.Values);
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}
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/// <summary>
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/// Randomly selects an entry from <paramref name="prototype"/>, attempts to localize it, and returns the result.
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/// </summary>
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public static string Pick(this IRobustRandom random, LocalizedDatasetPrototype prototype)
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{
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var index = random.Next(prototype.Values.Count);
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return Loc.GetString(prototype.Values[index]);
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}
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public static string Pick(this IWeightedRandomPrototype prototype, System.Random random)
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{
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var picks = prototype.Weights;
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var sum = picks.Values.Sum();
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var accumulated = 0f;
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var rand = random.NextFloat() * sum;
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foreach (var (key, weight) in picks)
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{
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accumulated += weight;
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if (accumulated >= rand)
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{
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return key;
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}
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}
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// Shouldn't happen
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throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!");
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}
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public static string Pick(this IWeightedRandomPrototype prototype, IRobustRandom? random = null)
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{
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IoCManager.Resolve(ref random);
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var picks = prototype.Weights;
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var sum = picks.Values.Sum();
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var accumulated = 0f;
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var rand = random.NextFloat() * sum;
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foreach (var (key, weight) in picks)
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{
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accumulated += weight;
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if (accumulated >= rand)
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{
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return key;
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}
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}
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// Shouldn't happen
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throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!");
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}
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public static T Pick<T>(this IRobustRandom random, Dictionary<T, float> weights)
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where T: notnull
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{
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var sum = weights.Values.Sum();
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var accumulated = 0f;
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var rand = random.NextFloat() * sum;
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foreach (var (key, weight) in weights)
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{
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accumulated += weight;
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if (accumulated >= rand)
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{
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return key;
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}
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}
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throw new InvalidOperationException("Invalid weighted pick");
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}
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public static T PickAndTake<T>(this IRobustRandom random, Dictionary<T, float> weights)
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where T : notnull
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{
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var pick = Pick(random, weights);
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weights.Remove(pick);
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return pick;
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}
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public static bool TryPickAndTake<T>(this IRobustRandom random, Dictionary<T, float> weights, [NotNullWhen(true)] out T? pick)
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where T : notnull
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{
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if (weights.Count == 0)
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{
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pick = default;
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return false;
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}
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pick = PickAndTake(random, weights);
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return true;
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}
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public static T Pick<T>(Dictionary<T, float> weights, System.Random random)
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where T : notnull
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{
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var sum = weights.Values.Sum();
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var accumulated = 0f;
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var rand = random.NextFloat() * sum;
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foreach (var (key, weight) in weights)
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{
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accumulated += weight;
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if (accumulated >= rand)
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{
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return key;
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}
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}
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throw new InvalidOperationException("Invalid weighted pick");
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}
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public static (string reagent, FixedPoint2 quantity) Pick(this WeightedRandomFillSolutionPrototype prototype, IRobustRandom? random = null)
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{
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var randomFill = prototype.PickRandomFill(random);
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IoCManager.Resolve(ref random);
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var sum = randomFill.Reagents.Count;
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var accumulated = 0f;
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var rand = random.NextFloat() * sum;
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foreach (var reagent in randomFill.Reagents)
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{
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accumulated += 1f;
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if (accumulated >= rand)
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{
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return (reagent, randomFill.Quantity);
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}
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}
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// Shouldn't happen
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throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!");
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}
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public static RandomFillSolution PickRandomFill(this WeightedRandomFillSolutionPrototype prototype, IRobustRandom? random = null)
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{
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IoCManager.Resolve(ref random);
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var fills = prototype.Fills;
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Dictionary<RandomFillSolution, float> picks = new();
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foreach (var fill in fills)
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{
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picks[fill] = fill.Weight;
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}
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var sum = picks.Values.Sum();
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var accumulated = 0f;
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var rand = random.NextFloat() * sum;
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foreach (var (randSolution, weight) in picks)
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{
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accumulated += weight;
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if (accumulated >= rand)
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{
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return randSolution;
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}
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}
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// Shouldn't happen
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throw new InvalidOperationException($"Invalid weighted pick for {prototype.ID}!");
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}
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/// <summary>
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/// A very simple, deterministic djb2 hash function for generating a combined seed for the random number generator.
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/// We can't use HashCode.Combine because that is initialized with a random value, creating different results on the server and client.
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/// </summary>
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/// <example>
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/// Combine the current game tick with a NetEntity Id in order to not get the same random result if this is called multiple times in the same tick.
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/// <code>
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/// var seed = SharedRandomExtensions.HashCodeCombine(new() { (int)_timing.CurTick.Value, GetNetEntity(ent).Id });
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/// </code>
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/// </example>
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public static int HashCodeCombine(List<int> values)
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{
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int hash = 5381;
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foreach (var value in values)
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{
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hash = (hash << 5) + hash + value;
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}
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return hash;
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}
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}
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}
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