spt/loot-dump-processor
spt/loot-dump-processor
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Replaced NumSharp with custom math functions for mean and standard deviation calculations

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This commit is contained in:
bluextx 2025-01-11 08:31:59 +03:00
parent 36917aa556
commit f31fdaa27d
2 changed files with 51 additions and 37 deletions
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59
source/LootDumpProcessor/LootDumpProcessor.csproj
View File

@ -1,36 +1,35 @@
<Project Sdk="Microsoft.NET.Sdk"> <Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup> <PropertyGroup>
<OutputType>Exe</OutputType> <OutputType>Exe</OutputType>
<TargetFramework>net8.0</TargetFramework> <TargetFramework>net8.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings> <ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable> <Nullable>enable</Nullable>
<ServerGarbageCollection>true</ServerGarbageCollection> <ServerGarbageCollection>true</ServerGarbageCollection>
<GarbageCollectionAdaptationMode>1</GarbageCollectionAdaptationMode> <GarbageCollectionAdaptationMode>1</GarbageCollectionAdaptationMode>
<ConcurrentGarbageCollection>true</ConcurrentGarbageCollection> <ConcurrentGarbageCollection>true</ConcurrentGarbageCollection>
</PropertyGroup> </PropertyGroup>
<ItemGroup> <ItemGroup>
<PackageReference Include="7z.Libs" Version="21.7.0" /> <PackageReference Include="7z.Libs" Version="21.7.0"/>
<PackageReference Include="Microsoft.Extensions.Logging" Version="9.0.0" /> <PackageReference Include="Microsoft.Extensions.Logging" Version="9.0.0"/>
<PackageReference Include="Microsoft.Extensions.Logging.Console" Version="9.0.0" /> <PackageReference Include="Microsoft.Extensions.Logging.Console" Version="9.0.0"/>
<PackageReference Include="Newtonsoft.Json" Version="13.0.2" /> <PackageReference Include="Newtonsoft.Json" Version="13.0.2"/>
<PackageReference Include="NumSharp" Version="0.30.0" /> <PackageReference Include="SevenZipSharp.Interop" Version="19.1.0"/>
<PackageReference Include="SevenZipSharp.Interop" Version="19.1.0" /> <PackageReference Include="System.Configuration.ConfigurationManager" Version="7.0.0"/>
<PackageReference Include="System.Configuration.ConfigurationManager" Version="7.0.0" /> <PackageReference Include="YamlDotNet" Version="13.0.0"/>
<PackageReference Include="YamlDotNet" Version="13.0.0" /> </ItemGroup>
</ItemGroup>
<ItemGroup> <ItemGroup>
<None Update="Config\forced_loose.yaml"> <None Update="Config\forced_loose.yaml">
<CopyToOutputDirectory>Always</CopyToOutputDirectory> <CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None> </None>
<None Update="Config\forced_static.yaml"> <None Update="Config\forced_static.yaml">
<CopyToOutputDirectory>Always</CopyToOutputDirectory> <CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None> </None>
<None Update="Config\config.json"> <None Update="Config\config.json">
<CopyToOutputDirectory>Always</CopyToOutputDirectory> <CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None> </None>
</ItemGroup> </ItemGroup>
</Project> </Project>

29
source/LootDumpProcessor/Process/Processor/v2/LooseLootProcessor/LooseLootProcessor.cs
View File

@ -6,7 +6,6 @@ using LootDumpProcessor.Storage;
using LootDumpProcessor.Storage.Collections; using LootDumpProcessor.Storage.Collections;
using LootDumpProcessor.Utils; using LootDumpProcessor.Utils;
using Microsoft.Extensions.Logging; using Microsoft.Extensions.Logging;
using NumSharp;
namespace LootDumpProcessor.Process.Processor.v2.LooseLootProcessor namespace LootDumpProcessor.Process.Processor.v2.LooseLootProcessor
{ {
@ -61,7 +60,7 @@ namespace LootDumpProcessor.Process.Processor.v2.LooseLootProcessor
) )
{ {
var config = LootDumpProcessorContext.GetConfig(); var config = LootDumpProcessorContext.GetConfig();
var spawnPointTolerance = config.ProcessorConfig.SpawnPointToleranceForForced / 100; var spawnPointTolerance = config.ProcessorConfig.SpawnPointToleranceForForced / 100.0;
var looseLootDistribution = new LooseLootRoot(); var looseLootDistribution = new LooseLootRoot();
var probabilities = new Dictionary<string, double>(); var probabilities = new Dictionary<string, double>();
@ -73,9 +72,9 @@ namespace LootDumpProcessor.Process.Processor.v2.LooseLootProcessor
probabilities[itemId] = (double)count / mapCount; probabilities[itemId] = (double)count / mapCount;
} }
var spawnPointCount = looseLootCountsItem.MapSpawnpointCount.Select(Convert.ToDouble); var spawnPointCount = looseLootCountsItem.MapSpawnpointCount.Select(Convert.ToDouble).ToList();
var initialMean = np.mean(np.array(spawnPointCount)).ToArray<double>().First(); var initialMean = CalculateMean(spawnPointCount);
var tolerancePercentage = config.ProcessorConfig.LooseLootCountTolerancePercentage / 100; var tolerancePercentage = config.ProcessorConfig.LooseLootCountTolerancePercentage / 100.0;
var highThreshold = initialMean * (1 + tolerancePercentage); var highThreshold = initialMean * (1 + tolerancePercentage);
looseLootCountsItem.MapSpawnpointCount = looseLootCountsItem.MapSpawnpointCount looseLootCountsItem.MapSpawnpointCount = looseLootCountsItem.MapSpawnpointCount
@ -84,8 +83,8 @@ namespace LootDumpProcessor.Process.Processor.v2.LooseLootProcessor
looseLootDistribution.SpawnPointCount = new SpawnPointCount looseLootDistribution.SpawnPointCount = new SpawnPointCount
{ {
Mean = np.mean(np.array(looseLootCountsItem.MapSpawnpointCount)), Mean = CalculateMean(looseLootCountsItem.MapSpawnpointCount.Select(Convert.ToDouble).ToList()),
Std = np.std(np.array(looseLootCountsItem.MapSpawnpointCount)) Std = CalculateStandardDeviation(looseLootCountsItem.MapSpawnpointCount.Select(Convert.ToDouble).ToList())
}; };
looseLootDistribution.SpawnPointsForced = new List<SpawnPointsForced>(); looseLootDistribution.SpawnPointsForced = new List<SpawnPointsForced>();
looseLootDistribution.SpawnPoints = new List<SpawnPoint>(); looseLootDistribution.SpawnPoints = new List<SpawnPoint>();
@ -227,5 +226,21 @@ namespace LootDumpProcessor.Process.Processor.v2.LooseLootProcessor
return looseLootDistribution; return looseLootDistribution;
} }
private double CalculateMean(IReadOnlyList<double> numbers)
{
if (!numbers.Any()) return 0;
return numbers.Average();
}
private double CalculateStandardDeviation(IReadOnlyList<double> numbers)
{
if (numbers.Count == 0) return 0;
var mean = CalculateMean(numbers);
var variance = numbers.Sum(num => Math.Pow(num - mean, 2)) / numbers.Count;
return Math.Sqrt(variance);
}
} }
} }