mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-08 22:17:44 +00:00
d7dbd7078a
- Updated event handler signatures to use TValueEventArgs for consistency in Mama, Mgdi, Pwma, Rma, Sma, Ssf, Super, T3, Tema, Trima, Usf, Vidya, Wma, and Atr classes. - Enhanced argument validation by specifying parameter names in exceptions for clarity. - Adjusted tests to align with new event handler signatures. - Improved code readability and maintainability by using structured records and lambda expressions.
252 lines
8.8 KiB
C#
252 lines
8.8 KiB
C#
using System;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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using System.Runtime.Intrinsics;
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using System.Runtime.Intrinsics.Arm;
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using System.Runtime.Intrinsics.X86;
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namespace QuanTAlib;
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/// <summary>
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/// HMA: Hull Moving Average
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/// </summary>
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/// <remarks>
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/// HMA reduces lag by using a combination of weighted moving averages.
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///
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/// Calculation:
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/// HMA = WMA(sqrt(n), 2 * WMA(n/2, price) - WMA(n, price))
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///
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/// Sources:
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/// https://alan.hull.com.au/hma.html
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Hma : AbstractBase
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{
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private readonly int _period;
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private readonly int _sqrtPeriod;
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private readonly Wma _wmaFull;
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private readonly Wma _wmaHalf;
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private readonly Wma _wmaSqrt;
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private readonly TValuePublishedHandler _handler;
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private int _sampleCount;
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public override bool IsHot => _sampleCount >= WarmupPeriod;
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public Hma(int period)
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{
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if (period <= 1) throw new ArgumentException("Period must be greater than 1", nameof(period));
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_period = period;
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int halfPeriod = period / 2;
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_sqrtPeriod = (int)Math.Sqrt(period);
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_wmaFull = new Wma(period);
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_wmaHalf = new Wma(halfPeriod);
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_wmaSqrt = new Wma(_sqrtPeriod);
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_handler = Handle;
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Name = $"Hma({period})";
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WarmupPeriod = period + _sqrtPeriod - 1; // WMA needs period, then WMA(sqrt) needs sqrt_period. Total lag/warmup.
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}
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public Hma(ITValuePublisher source, int period) : this(period)
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{
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source.Pub += _handler;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public override TValue Update(TValue input, bool isNew = true)
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{
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if (isNew) _sampleCount++;
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// 1. Calculate WMA(n)
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TValue full = _wmaFull.Update(input, isNew);
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// 2. Calculate WMA(n/2)
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TValue half = _wmaHalf.Update(input, isNew);
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// 3. Calculate intermediate: 2 * WMA(n/2) - WMA(n)
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double intermediate = (2.0 * half.Value) - full.Value;
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// 4. Calculate HMA = WMA(sqrt(n), intermediate)
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Last = _wmaSqrt.Update(new TValue(input.Time, intermediate), isNew);
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PubEvent(Last, isNew);
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return Last;
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}
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public override TSeries Update(TSeries source)
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{
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if (source.Count == 0) return [];
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int len = source.Count;
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var t = new List<long>(len);
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var v = new List<double>(len);
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CollectionsMarshal.SetCount(t, len);
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CollectionsMarshal.SetCount(v, len);
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var tSpan = CollectionsMarshal.AsSpan(t);
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var vSpan = CollectionsMarshal.AsSpan(v);
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Calculate(source.Values, vSpan, _period);
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source.Times.CopyTo(tSpan);
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// Restore state for streaming
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Reset();
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// We need to replay enough history to get the state right.
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// HMA depends on 3 WMAs.
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// WMA state depends on the last 'period' values.
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// So we need to replay at least _period + _sqrtPeriod + buffer.
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int lookback = _period + _sqrtPeriod + 10;
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int startIndex = Math.Max(0, len - lookback);
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// We can't easily set _sampleCount without replaying, or we assume it's just count.
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// But WMA internal state needs to be restored.
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// Since WMA doesn't expose Prime/State easily (unless we cast and check), replaying is safer.
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for (int i = startIndex; i < len; i++)
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{
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Update(new TValue(source.Times[i], source.Values[i]));
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}
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// Adjust sample count to reflect actual total samples processed
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_sampleCount = len;
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Last = new TValue(tSpan[len - 1], vSpan[len - 1]);
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return new TSeries(t, v);
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}
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private void Handle(object? sender, TValueEventArgs args)
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{
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Update(args.Value, args.IsNew);
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}
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public override void Prime(ReadOnlySpan<double> source)
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{
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foreach (var value in source)
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{
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Update(new TValue(DateTime.MinValue, value));
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}
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}
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public static TSeries Batch(TSeries source, int period)
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{
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int len = source.Count;
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var t = new List<long>(len);
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var v = new List<double>(len);
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CollectionsMarshal.SetCount(t, len);
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CollectionsMarshal.SetCount(v, len);
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Calculate(source.Values, CollectionsMarshal.AsSpan(v), period);
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source.Times.CopyTo(CollectionsMarshal.AsSpan(t));
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return new TSeries(t, v);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Calculate(ReadOnlySpan<double> source, Span<double> output, int period)
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{
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if (source.Length != output.Length)
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throw new ArgumentException("Source and output must have the same length", nameof(output));
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if (period <= 1)
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throw new ArgumentException("Period must be greater than 1", nameof(period));
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int len = source.Length;
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if (len == 0) return;
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int halfPeriod = period / 2;
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int sqrtPeriod = (int)Math.Sqrt(period);
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double[] rentedFull = System.Buffers.ArrayPool<double>.Shared.Rent(len);
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Span<double> fullWma = rentedFull.AsSpan(0, len);
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double[] rentedHalf = System.Buffers.ArrayPool<double>.Shared.Rent(len);
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Span<double> halfWma = rentedHalf.AsSpan(0, len);
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// Reuse halfWma buffer for intermediate results to save memory/allocations
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// But we need halfWma values for the calculation.
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// Wait, CalculateIntermediate reads halfWma and fullWma and writes to output.
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// So we can write to 'halfWma' IF we don't need 'halfWma' anymore.
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// CalculateIntermediate iterates. If we write to halfWma in place, we overwrite values we might need if we were doing something else.
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// But here: output[i] = 2*half[i] - full[i].
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// This is element-wise. So we CAN overwrite half[i] with the result if we process carefully or if we don't need half[i] later.
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// We don't need half[i] later.
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// So we can use halfWma as the intermediate buffer.
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Span<double> intermediate = halfWma;
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try
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{
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Wma.Batch(source, fullWma, period);
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Wma.Batch(source, halfWma, halfPeriod);
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CalculateIntermediate(halfWma, fullWma, intermediate);
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Wma.Batch(intermediate, output, sqrtPeriod);
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}
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finally
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{
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System.Buffers.ArrayPool<double>.Shared.Return(rentedFull);
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System.Buffers.ArrayPool<double>.Shared.Return(rentedHalf);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static void CalculateIntermediate(ReadOnlySpan<double> halfWma, ReadOnlySpan<double> fullWma, Span<double> output)
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{
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int len = halfWma.Length;
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int i = 0;
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ref double halfRef = ref MemoryMarshal.GetReference(halfWma);
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ref double fullRef = ref MemoryMarshal.GetReference(fullWma);
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ref double outRef = ref MemoryMarshal.GetReference(output);
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if (Avx512F.IsSupported && len >= Vector512<double>.Count)
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{
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var vTwo = Vector512.Create(2.0);
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for (; i <= len - Vector512<double>.Count; i += Vector512<double>.Count)
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{
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var vHalf = Vector512.LoadUnsafe(ref Unsafe.Add(ref halfRef, i));
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var vFull = Vector512.LoadUnsafe(ref Unsafe.Add(ref fullRef, i));
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var vResult = Avx512F.Subtract(Avx512F.Multiply(vHalf, vTwo), vFull);
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Vector512.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, i));
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}
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}
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else if (Avx2.IsSupported && len >= Vector256<double>.Count)
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{
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var vTwo = Vector256.Create(2.0);
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for (; i <= len - Vector256<double>.Count; i += Vector256<double>.Count)
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{
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var vHalf = Vector256.LoadUnsafe(ref Unsafe.Add(ref halfRef, i));
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var vFull = Vector256.LoadUnsafe(ref Unsafe.Add(ref fullRef, i));
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var vResult = Avx.Subtract(Avx.Multiply(vHalf, vTwo), vFull);
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Vector256.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, i));
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}
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}
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else if (AdvSimd.Arm64.IsSupported && len >= Vector128<double>.Count)
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{
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var vTwo = Vector128.Create(2.0);
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for (; i <= len - Vector128<double>.Count; i += Vector128<double>.Count)
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{
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var vHalf = Vector128.LoadUnsafe(ref Unsafe.Add(ref halfRef, i));
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var vFull = Vector128.LoadUnsafe(ref Unsafe.Add(ref fullRef, i));
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var vResult = AdvSimd.Arm64.Subtract(AdvSimd.Arm64.Multiply(vHalf, vTwo), vFull);
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Vector128.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, i));
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}
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}
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for (; i < len; i++)
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{
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output[i] = (2.0 * halfWma[i]) - fullWma[i];
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}
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}
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public override void Reset()
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{
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_wmaFull.Reset();
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_wmaHalf.Reset();
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_wmaSqrt.Reset();
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_sampleCount = 0;
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Last = default;
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}
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}
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