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SIMD Refactor: Merge simd-dev into dev (#55)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat> Co-authored-by: Warp <agent@warp.dev>
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co-authored by
Claude Opus 4.5
aider
Warp
parent
5bcdf8d614
commit
86fe32a682
@@ -0,0 +1,212 @@
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// NORMALIZE: Min-Max Normalization
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// Scales values to [0, 1] range using min-max scaling over a lookback period
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// Formula: (x - min) / (max - min)
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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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/// NORMALIZE: Min-Max Normalization
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/// Scales values to the range [0, 1] using min-max normalization over a lookback period.
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/// </summary>
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/// <remarks>
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/// Key properties:
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/// - Output always between 0 and 1 (inclusive when value equals min or max)
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/// - Uses rolling window to track min and max
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/// - Division by zero (flat range) returns 0.5 as neutral value
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/// - Commonly used for feature scaling and bounded indicators
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/// </remarks>
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[SkipLocalsInit]
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public sealed class Normalize : 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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[StructLayout(LayoutKind.Auto)]
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private record struct State(double LastValidNorm, double Min, double Max);
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private State _state, _p_state;
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public override bool IsHot => _buffer.Count >= _period;
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/// <param name="period">Lookback period for min/max calculation (default 14)</param>
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public Normalize(int period = 14)
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{
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if (period < 1)
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throw new ArgumentException("Period must be >= 1", nameof(period));
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_period = period;
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_buffer = new RingBuffer(period);
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Name = $"Normalize({period})";
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WarmupPeriod = period;
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_state = new State(0.5, double.MaxValue, double.MinValue);
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_p_state = _state;
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}
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/// <param name="source">Source indicator for chaining</param>
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/// <param name="period">Lookback period (default 14)</param>
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public Normalize(ITValuePublisher source, int period = 14) : this(period)
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{
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source.Pub += HandleUpdate;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void HandleUpdate(object? sender, in TValueEventArgs e) => Update(e.Value, e.IsNew);
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static (double min, double max) FindMinMax(ReadOnlySpan<double> values)
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{
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if (values.Length == 0)
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return (double.MaxValue, double.MinValue);
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double min = values[0];
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double max = values[0];
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for (int i = 1; i < values.Length; i++)
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{
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double v = values[i];
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if (v < min) min = v;
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if (v > max) max = v;
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}
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return (min, max);
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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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_p_state = _state;
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else
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_state = _p_state;
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double value = input.Value;
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double result;
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if (double.IsFinite(value))
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{
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_buffer.Add(value, isNew);
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// Find min and max in the buffer
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var (min, max) = FindMinMax(_buffer.GetSpan());
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double range = max - min;
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if (range > 0)
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{
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result = (value - min) / range;
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}
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else
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{
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// Flat range: return 0.5 as neutral
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result = 0.5;
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}
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_state = new State(result, min, max);
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}
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else
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{
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result = _state.LastValidNorm;
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}
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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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var result = new TSeries(source.Count);
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ReadOnlySpan<double> values = source.Values;
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ReadOnlySpan<long> times = source.Times;
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for (int i = 0; i < source.Count; i++)
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{
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var tv = Update(new TValue(new DateTime(times[i], DateTimeKind.Utc), values[i]), true);
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result.Add(tv, true);
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}
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return result;
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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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TimeSpan interval = step ?? TimeSpan.FromSeconds(1);
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DateTime time = DateTime.UtcNow - (interval * source.Length);
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for (int i = 0; i < source.Length; i++)
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{
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Update(new TValue(time, source[i]), true);
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time += interval;
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}
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}
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public static TSeries Calculate(TSeries source, int period = 14)
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{
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var indicator = new Normalize(period);
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return indicator.Update(source);
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}
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/// <summary>
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/// Calculates Min-Max Normalization over a span of values.
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/// </summary>
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public static void Calculate(ReadOnlySpan<double> source, Span<double> output, int period = 14)
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{
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if (source.Length == 0)
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throw new ArgumentException("Source cannot be empty", nameof(source));
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if (output.Length < source.Length)
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throw new ArgumentException("Output length must be >= source length", nameof(output));
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if (period < 1)
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throw new ArgumentException("Period must be >= 1", nameof(period));
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double lastValid = 0.5;
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for (int i = 0; i < source.Length; i++)
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{
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double val = source[i];
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if (!double.IsFinite(val))
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{
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output[i] = lastValid;
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continue;
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}
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// Determine window bounds
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int start = Math.Max(0, i - period + 1);
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// Find min/max in window - initialize to infinity to handle non-finite starting values
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double min = double.PositiveInfinity;
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double max = double.NegativeInfinity;
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for (int j = start; j <= i; j++)
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{
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double v = source[j];
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if (double.IsFinite(v))
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{
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if (v < min) min = v;
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if (v > max) max = v;
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}
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}
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// If no finite values found in window, use neutral output
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if (!double.IsFinite(min) || !double.IsFinite(max))
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{
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output[i] = lastValid;
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continue;
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}
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double range = max - min;
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double result = range > 0 ? (val - min) / range : 0.5;
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lastValid = result;
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output[i] = result;
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}
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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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_state = new State(0.5, double.MaxValue, double.MinValue);
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_p_state = _state;
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Last = default;
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}
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}
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