mirror of
https://github.com/mihakralj/QuanTAlib.git
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229 lines
6.8 KiB
C#
229 lines
6.8 KiB
C#
using System.Buffers;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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namespace QuanTAlib;
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/// <summary>
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/// NYQMA: Nyquist Moving Average
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/// </summary>
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/// <remarks>
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/// Dr. Manfred G. Dürschner's lag-compensated filter applying the Nyquist-Shannon
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/// sampling theorem to cascaded LWMAs. A single-smoothed LWMA and a double-smoothed
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/// LWMA are combined via extrapolation to cancel lag while preventing aliasing.
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///
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/// Calculation: <c>NYQMA = (1 + α) × MA1 − α × MA2</c> where <c>α = N2 / (N1 − N2)</c>.
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/// <c>MA1 = WMA(src, N1)</c>, <c>MA2 = WMA(MA1, N2)</c>.
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/// Nyquist constraint: <c>N2 ≤ floor(N1/2)</c>.
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/// O(1) per bar via composed Wma instances.
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/// </remarks>
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/// <seealso href="Nyqma.md">Detailed documentation</seealso>
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/// <seealso href="nyqma.pine">Reference Pine Script implementation</seealso>
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[SkipLocalsInit]
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public sealed class Nyqma : AbstractBase
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{
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private readonly int _period;
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private readonly int _nyquistPeriod;
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private readonly double _alpha;
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private readonly Wma _wma1;
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private readonly Wma _wma2;
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private readonly ITValuePublisher? _source;
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private readonly TValuePublishedHandler? _handler;
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private bool _disposed;
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private int _sampleCount;
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public override bool IsHot => _sampleCount >= WarmupPeriod;
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/// <summary>
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/// Creates NYQMA with specified periods.
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/// </summary>
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/// <param name="period">Primary LWMA period N1 (must be ≥ 3, default: 89)</param>
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/// <param name="nyquistPeriod">Secondary LWMA period N2 (clamped to ≤ floor(N1/2), default: 21)</param>
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public Nyqma(int period = 89, int nyquistPeriod = 21)
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{
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if (period < 3)
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{
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throw new ArgumentException("Period must be at least 3", nameof(period));
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}
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_period = period;
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_nyquistPeriod = Math.Clamp(nyquistPeriod, 1, period / 2);
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_alpha = (double)_nyquistPeriod / (_period - _nyquistPeriod);
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_wma1 = new Wma(_period);
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_wma2 = new Wma(_nyquistPeriod);
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Name = $"Nyqma({_period},{_nyquistPeriod})";
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WarmupPeriod = _period + _nyquistPeriod - 1;
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}
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/// <summary>
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/// Creates NYQMA subscribed to a source publisher.
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/// </summary>
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public Nyqma(ITValuePublisher source, int period = 89, int nyquistPeriod = 21) : this(period, nyquistPeriod)
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{
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_source = source;
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_handler = Handle;
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source.Pub += _handler;
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}
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protected override void Dispose(bool disposing)
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{
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if (!_disposed)
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{
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if (disposing && _source != null && _handler != null)
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{
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_source.Pub -= _handler;
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}
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_disposed = true;
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}
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base.Dispose(disposing);
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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)
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{
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_sampleCount++;
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}
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TValue wma1Result = _wma1.Update(input, isNew);
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TValue wma2Result = _wma2.Update(wma1Result, isNew);
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double w1 = wma1Result.Value;
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double w2 = wma2Result.Value;
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// NYQMA = (1 + α) × MA1 − α × MA2
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double nyqma = Math.FusedMultiplyAdd(1.0 + _alpha, w1, -_alpha * w2);
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Last = new TValue(input.Time, nyqma);
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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)
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{
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return [];
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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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var tSpan = CollectionsMarshal.AsSpan(t);
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var vSpan = CollectionsMarshal.AsSpan(v);
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source.Times.CopyTo(tSpan);
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Batch(source.Values, vSpan, _period, _nyquistPeriod);
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Reset();
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int lookback = WarmupPeriod + 10;
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int startIndex = Math.Max(0, len - lookback);
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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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_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, in 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, TimeSpan? step = null)
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{
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Reset();
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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, int nyquistPeriod)
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{
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var nyqma = new Nyqma(period, nyquistPeriod);
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return nyqma.Update(source);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Batch(ReadOnlySpan<double> source, Span<double> output, int period, int nyquistPeriod)
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{
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if (period < 3)
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{
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throw new ArgumentException("Period must be at least 3", nameof(period));
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}
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if (source.Length != output.Length)
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{
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throw new ArgumentException("Source and output must have the same length", nameof(output));
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}
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int len = source.Length;
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if (len == 0)
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{
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return;
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}
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int n2 = Math.Clamp(nyquistPeriod, 1, period / 2);
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double alpha = (double)n2 / (period - n2);
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double[]? wma1Array = len > 1024 ? ArrayPool<double>.Shared.Rent(len) : null;
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Span<double> wma1 = len <= 1024
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? stackalloc double[len]
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: wma1Array!.AsSpan(0, len);
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double[]? wma2Array = len > 1024 ? ArrayPool<double>.Shared.Rent(len) : null;
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Span<double> wma2 = len <= 1024
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? stackalloc double[len]
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: wma2Array!.AsSpan(0, len);
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try
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{
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Wma.Batch(source, wma1, period);
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Wma.Batch(wma1, wma2, n2);
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// NYQMA = (1 + α) × MA1 − α × MA2
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double onePlusAlpha = 1.0 + alpha;
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for (int i = 0; i < len; i++)
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{
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output[i] = Math.FusedMultiplyAdd(onePlusAlpha, wma1[i], -alpha * wma2[i]);
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}
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}
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finally
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{
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if (wma1Array != null)
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{
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ArrayPool<double>.Shared.Return(wma1Array);
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}
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if (wma2Array != null)
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{
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ArrayPool<double>.Shared.Return(wma2Array);
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}
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}
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}
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public static (TSeries Results, Nyqma Indicator) Calculate(TSeries source, int period, int nyquistPeriod)
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{
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var indicator = new Nyqma(period, nyquistPeriod);
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TSeries results = indicator.Update(source);
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return (results, indicator);
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}
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public override void Reset()
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{
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_wma1.Reset();
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_wma2.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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