mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-18 10:38:05 +00:00
Class optimization
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+54
-10
@@ -1,5 +1,4 @@
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using System;
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using System.Linq;
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using System.Runtime.CompilerServices;
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namespace QuanTAlib;
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/// <summary>
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@@ -40,13 +39,15 @@ namespace QuanTAlib;
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/// Note: More robust than mean for non-normal distributions
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/// </remarks>
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public class Median : AbstractBase
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[SkipLocalsInit]
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public sealed class Median : AbstractBase
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{
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private readonly int Period;
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private readonly CircularBuffer _buffer;
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/// <param name="period">The number of points to consider for median calculation.</param>
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/// <exception cref="ArgumentOutOfRangeException">Thrown when period is less than 1.</exception>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Median(int period)
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{
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if (period < 1)
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@@ -63,18 +64,21 @@ public class Median : AbstractBase
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/// <param name="source">The data source object that publishes updates.</param>
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/// <param name="period">The number of points to consider for median calculation.</param>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Median(object source, int period) : this(period)
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{
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var pubEvent = source.GetType().GetEvent("Pub");
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pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override void Init()
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{
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base.Init();
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_buffer.Clear();
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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protected override void ManageState(bool isNew)
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{
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if (isNew)
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@@ -84,6 +88,46 @@ public class Median : AbstractBase
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void QuickSort(Span<double> arr, int left, int right)
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{
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if (left < right)
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{
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int pivotIndex = Partition(arr, left, right);
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QuickSort(arr, left, pivotIndex - 1);
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QuickSort(arr, pivotIndex + 1, right);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static int Partition(Span<double> arr, int left, int right)
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{
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double pivot = arr[right];
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int i = left - 1;
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for (int j = left; j < right; j++)
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{
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if (arr[j] <= pivot)
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{
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i++;
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(arr[i], arr[j]) = (arr[j], arr[i]);
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}
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}
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(arr[i + 1], arr[right]) = (arr[right], arr[i + 1]);
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return i + 1;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static double CalculateMedian(Span<double> sortedValues)
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{
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int middleIndex = sortedValues.Length / 2;
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return (sortedValues.Length % 2 == 0)
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? (sortedValues[middleIndex - 1] + sortedValues[middleIndex]) / 2.0
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: sortedValues[middleIndex];
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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protected override double Calculation()
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{
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ManageState(Input.IsNew);
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@@ -92,15 +136,15 @@ public class Median : AbstractBase
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double median;
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if (_index >= Period)
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{
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// Get sorted copy of values
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var sortedValues = _buffer.GetSpan().ToArray();
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Array.Sort(sortedValues);
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int middleIndex = sortedValues.Length / 2;
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// Create a temporary buffer on the stack
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Span<double> values = stackalloc double[Period];
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_buffer.GetSpan().CopyTo(values);
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// Sort values in-place
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QuickSort(values, 0, values.Length - 1);
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// Calculate median based on odd/even count
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median = (sortedValues.Length % 2 == 0)
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? (sortedValues[middleIndex - 1] + sortedValues[middleIndex]) / 2.0
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: sortedValues[middleIndex];
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median = CalculateMedian(values);
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}
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else
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{
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