mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-28 01:37:43 +00:00
467 lines
13 KiB
C#
467 lines
13 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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/// Mode: Rolling Statistical Mode
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/// </summary>
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/// <remarks>
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/// The Mode is the most frequently occurring value in a dataset. It is the only measure
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/// of central tendency that can be used with nominal (categorical) data.
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///
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/// Calculation:
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/// 1. Maintain a sorted list of the last 'Period' values.
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/// 2. Scan sorted list for the longest consecutive run of equal values.
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/// 3. If no value appears more than once (and there are multiple distinct values), return NaN.
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///
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/// Complexity:
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/// Update: O(N) due to maintaining sorted structure (BinarySearch + Array.Copy) + O(N) scan.
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Mode : AbstractBase
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{
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private readonly int _period;
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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 Mode indicator with the specified period.
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/// </summary>
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/// <param name="period">The size of the rolling window (must be > 0).</param>
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public Mode(int period)
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{
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if (period <= 0)
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{
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throw new ArgumentException("Period must be greater than 0", nameof(period));
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}
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_period = period;
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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 = $"Mode({period})";
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WarmupPeriod = period;
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_handler = Handle;
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}
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/// <summary>
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/// Creates a chained Mode indicator.
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/// </summary>
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public Mode(ITValuePublisher source, int period) : this(period)
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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>
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/// Creates a Mode indicator primed from a TSeries source.
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/// </summary>
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public Mode(TSeries source, int period) : this(period)
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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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// NaN/Infinity guard: substitute last valid value
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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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// Save sorted buffer state for potential rollback
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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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// Restore sorted buffer from backup using saved count
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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 mode = FindModeFromSorted(_sortedBuffer, _buffer.Count);
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Last = new TValue(input.Time, mode);
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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);
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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>
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/// Calculates Mode for the entire series using a new instance.
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/// </summary>
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public static TSeries Batch(TSeries source, int period)
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{
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var mode = new Mode(period);
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return mode.Update(source);
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}
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/// <summary>
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/// Calculates Mode in-place using spans.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static void Batch(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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{
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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 <= 0)
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{
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throw new ArgumentException("Period must be greater than 0", nameof(period));
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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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double[] rentedSorted = ArrayPool<double>.Shared.Rent(period);
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double[] rentedWindow = ArrayPool<double>.Shared.Rent(period);
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try
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{
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Span<double> sortedBuffer = rentedSorted.AsSpan(0, period);
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Span<double> window = rentedWindow.AsSpan(0, period);
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sortedBuffer.Clear();
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window.Clear();
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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] = FindModeFromSortedSpan(sortedBuffer, count);
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}
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}
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finally
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{
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ArrayPool<double>.Shared.Return(rentedSorted);
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ArrayPool<double>.Shared.Return(rentedWindow);
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}
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}
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public static (TSeries Results, Mode Indicator) Calculate(TSeries source, int period)
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{
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var indicator = new Mode(period);
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TSeries results = indicator.Update(source);
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return (results, indicator);
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}
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/// <summary>
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/// Finds the mode from a sorted array by scanning for the longest consecutive run.
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/// Returns NaN if no value appears more than once (and there are multiple distinct values).
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static double FindModeFromSorted(double[] sorted, int count)
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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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if (count == 1)
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{
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return sorted[0];
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}
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double modeVal = sorted[0];
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int maxFreq = 1;
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int currentFreq = 1;
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int distinctCount = 1;
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for (int i = 1; i < count; i++)
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{
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if (sorted[i] == sorted[i - 1]) // skipcq: CS-R1077 - Exact-equality required: mode detection counts identical values in a sorted array; epsilon would merge distinct prices
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{
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currentFreq++;
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}
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else
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{
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if (currentFreq > maxFreq)
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{
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maxFreq = currentFreq;
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modeVal = sorted[i - 1];
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}
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currentFreq = 1;
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distinctCount++;
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}
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}
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// Check the last run
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if (currentFreq > maxFreq)
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{
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maxFreq = currentFreq;
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modeVal = sorted[count - 1];
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}
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// No mode if all values unique and more than 1 distinct value
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if (maxFreq <= 1 && distinctCount > 1)
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{
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return double.NaN;
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}
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return modeVal;
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}
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/// <summary>
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/// Span-based mode finding for batch path.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static double FindModeFromSortedSpan(Span<double> sorted, int count)
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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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if (count == 1)
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{
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return sorted[0];
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}
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double modeVal = sorted[0];
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int maxFreq = 1;
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int currentFreq = 1;
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int distinctCount = 1;
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for (int i = 1; i < count; i++)
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{
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if (sorted[i] == sorted[i - 1])
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{
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currentFreq++;
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}
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else
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{
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if (currentFreq > maxFreq)
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{
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maxFreq = currentFreq;
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modeVal = sorted[i - 1];
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}
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currentFreq = 1;
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distinctCount++;
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}
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}
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if (currentFreq > maxFreq)
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{
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maxFreq = currentFreq;
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modeVal = sorted[count - 1];
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}
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if (maxFreq <= 1 && distinctCount > 1)
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{
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return double.NaN;
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}
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return modeVal;
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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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