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}!");
}
}
}