mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-30 02:27:43 +00:00
438 lines
12 KiB
C#
438 lines
12 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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/// Trim: Rolling Trimmed Mean Moving Average
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/// </summary>
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/// <remarks>
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/// Sorts the lookback window, discards the lowest and highest trimPct% of values,
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/// and returns the arithmetic mean of the remaining middle portion.
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/// trimPct=0 → SMA, trimPct approaches 50 → Median.
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///
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/// Complexity per bar: O(N log N) sort + O(N) sum — unavoidable for exact order statistics.
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/// Sorted buffer maintained incrementally via BinarySearch + Array.Copy to avoid full re-sort.
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Trim : AbstractBase
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{
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private readonly int _period;
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private readonly double _trimPct;
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private readonly RingBuffer _buffer;
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private readonly double[] _sortedBuffer;
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private readonly double[] _p_sortedBuffer;
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private readonly TValuePublishedHandler _handler;
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private readonly ITValuePublisher? _source;
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private double _lastValidValue;
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private int _p_sortedCount;
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private bool _disposed;
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public override bool IsHot => _buffer.IsFull;
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/// <summary>
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/// Creates a Trim indicator with the specified period and trim percentage.
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/// </summary>
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/// <param name="period">The size of the rolling window (must be >= 3).</param>
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/// <param name="trimPct">Percentage of values to trim from each tail (0–49). Default 10.</param>
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public Trim(int period, double trimPct = 10.0)
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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 >= 3", nameof(period));
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}
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if (trimPct < 0 || trimPct >= 50)
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{
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throw new ArgumentException("TrimPct must be in [0, 49]", nameof(trimPct));
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}
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_period = period;
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_trimPct = trimPct;
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_buffer = new RingBuffer(period);
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_sortedBuffer = new double[period];
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_p_sortedBuffer = new double[period];
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Name = $"Trim({period},{trimPct})";
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WarmupPeriod = period;
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_handler = Handle;
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}
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/// <summary>Creates a chained Trim indicator.</summary>
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public Trim(ITValuePublisher source, int period, double trimPct = 10.0) : this(period, trimPct)
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{
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_source = source;
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source.Pub += _handler;
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}
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/// <summary>Creates a Trim indicator primed from a TSeries source.</summary>
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public Trim(TSeries source, int period, double trimPct = 10.0) : this(period, trimPct)
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{
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Prime(source.Values);
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if (source.Count > 0)
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{
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Last = new TValue(source.LastTime, Last.Value);
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}
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_source = source;
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source.Pub += _handler;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void Handle(object? sender, in TValueEventArgs args) => Update(args.Value, args.IsNew);
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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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double value = input.Value;
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if (!double.IsFinite(value))
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{
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value = _lastValidValue;
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}
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else
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{
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_lastValidValue = value;
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}
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if (isNew)
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{
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_p_sortedCount = _buffer.Count;
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Array.Copy(_sortedBuffer, _p_sortedBuffer, _p_sortedCount);
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if (_buffer.IsFull)
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{
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double old = _buffer.Oldest;
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RemoveFromSorted(old);
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}
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_buffer.Add(value);
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AddToSorted(value);
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}
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else
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{
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if (_p_sortedCount > 0)
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{
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Array.Copy(_p_sortedBuffer, _sortedBuffer, _p_sortedCount);
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}
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if (_buffer.Count > 0)
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{
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double current = _buffer.Newest;
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RemoveFromSorted(current);
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_buffer.UpdateNewest(value);
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AddToSorted(value);
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}
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else
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{
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_buffer.Add(value);
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AddToSorted(value);
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}
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}
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double result = ComputeTrimmedMean(_sortedBuffer, _buffer.Count, _trimPct);
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Last = new TValue(input.Time, result);
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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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Batch(source.Values, vSpan, _period, _trimPct);
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source.Times.CopyTo(tSpan);
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Prime(source.Values);
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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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public override void Reset()
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{
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_buffer.Clear();
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Array.Clear(_sortedBuffer);
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Array.Clear(_p_sortedBuffer);
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Last = default;
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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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if (source.Length == 0)
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{
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return;
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}
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_buffer.Clear();
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Array.Clear(_sortedBuffer);
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int warmupLength = Math.Min(source.Length, WarmupPeriod);
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int startIndex = source.Length - warmupLength;
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for (int i = startIndex; i < source.Length; i++)
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{
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Update(new TValue(DateTime.MinValue, source[i]));
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}
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}
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/// <summary>Calculates Trim for the entire series using a new instance.</summary>
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public static TSeries Batch(TSeries source, int period, double trimPct = 10.0)
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{
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var trim = new Trim(period, trimPct);
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return trim.Update(source);
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}
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/// <summary>Calculates Trim in-place using spans.</summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Batch(ReadOnlySpan<double> source, Span<double> output, int period, double trimPct = 10.0)
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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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if (period < 3)
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{
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throw new ArgumentException("Period must be >= 3", nameof(period));
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}
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if (trimPct < 0 || trimPct >= 50)
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{
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throw new ArgumentException("TrimPct must be in [0, 49]", nameof(trimPct));
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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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const int StackallocThreshold = 256;
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double[]? rentedSorted = null;
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double[]? rentedWindow = null;
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scoped Span<double> sortedBuffer;
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scoped Span<double> window;
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if (period <= StackallocThreshold)
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{
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sortedBuffer = stackalloc double[period];
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window = stackalloc double[period];
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}
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else
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{
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rentedSorted = ArrayPool<double>.Shared.Rent(period);
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rentedWindow = ArrayPool<double>.Shared.Rent(period);
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sortedBuffer = rentedSorted.AsSpan(0, period);
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window = rentedWindow.AsSpan(0, period);
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}
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sortedBuffer.Clear();
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window.Clear();
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try
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{
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int windowIdx = 0;
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int count = 0;
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for (int i = 0; i < len; i++)
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{
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double val = source[i];
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if (count == period)
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{
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double old = window[windowIdx];
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int oldIndex = BinarySearchSpan(sortedBuffer, count, old);
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if (oldIndex >= 0)
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{
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if (oldIndex < count - 1)
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{
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sortedBuffer.Slice(oldIndex + 1, count - 1 - oldIndex).CopyTo(sortedBuffer.Slice(oldIndex));
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}
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count--;
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}
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}
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window[windowIdx] = val;
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windowIdx = (windowIdx + 1) % period;
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int newIndex = BinarySearchSpan(sortedBuffer, count, val);
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if (newIndex < 0)
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{
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newIndex = ~newIndex;
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}
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if (newIndex < count)
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{
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sortedBuffer.Slice(newIndex, count - newIndex).CopyTo(sortedBuffer.Slice(newIndex + 1));
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}
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sortedBuffer[newIndex] = val;
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count++;
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output[i] = ComputeTrimmedMeanSpan(sortedBuffer, count, trimPct);
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}
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}
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finally
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{
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if (rentedSorted != null)
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{
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ArrayPool<double>.Shared.Return(rentedSorted);
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}
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if (rentedWindow != null)
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{
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ArrayPool<double>.Shared.Return(rentedWindow);
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}
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}
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}
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public static (TSeries Results, Trim Indicator) Calculate(TSeries source, int period, double trimPct = 10.0)
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{
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var indicator = new Trim(period, trimPct);
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TSeries results = indicator.Update(source);
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return (results, indicator);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static double ComputeTrimmedMean(double[] sorted, int count, double trimPct)
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{
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if (count == 0)
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{
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return double.NaN;
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}
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int trimCount = (int)(count * trimPct / 100.0);
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int keepCount = count - 2 * trimCount;
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if (keepCount < 1)
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{
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keepCount = 1;
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trimCount = (count - 1) / 2;
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}
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double sum = 0.0;
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int end = trimCount + keepCount;
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for (int i = trimCount; i < end; i++)
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{
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sum += sorted[i];
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}
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return sum / keepCount;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static double ComputeTrimmedMeanSpan(Span<double> sorted, int count, double trimPct)
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{
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if (count == 0)
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{
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return double.NaN;
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}
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int trimCount = (int)(count * trimPct / 100.0);
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int keepCount = count - 2 * trimCount;
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if (keepCount < 1)
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{
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keepCount = 1;
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trimCount = (count - 1) / 2;
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}
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double sum = 0.0;
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int end = trimCount + keepCount;
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for (int i = trimCount; i < end; i++)
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{
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sum += sorted[i];
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}
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return sum / keepCount;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void AddToSorted(double value)
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{
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int validCount = _buffer.Count - 1;
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int index = Array.BinarySearch(_sortedBuffer, 0, validCount, value);
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if (index < 0)
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{
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index = ~index;
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}
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if (index < validCount)
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{
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Array.Copy(_sortedBuffer, index, _sortedBuffer, index + 1, validCount - index);
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}
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_sortedBuffer[index] = value;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void RemoveFromSorted(double value)
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{
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int validCount = _buffer.Count;
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int index = Array.BinarySearch(_sortedBuffer, 0, validCount, value);
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if (index < 0)
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{
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return;
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}
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if (index < validCount - 1)
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{
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Array.Copy(_sortedBuffer, index + 1, _sortedBuffer, index, validCount - 1 - index);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static int BinarySearchSpan(Span<double> span, int length, double value)
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{
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int lo = 0;
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int hi = length - 1;
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while (lo <= hi)
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{
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int mid = lo + ((hi - lo) >> 1);
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int cmp = span[mid].CompareTo(value);
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if (cmp == 0)
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{
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return mid;
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}
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if (cmp < 0)
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{
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lo = mid + 1;
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}
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else
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{
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hi = mid - 1;
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}
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}
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return ~lo;
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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)
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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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}
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