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style patterns
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@@ -41,7 +41,9 @@ public sealed class PseudoHuber : BiInputIndicatorBase
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: base(period, $"PseudoHuber({period},{delta:F3})")
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{
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if (delta <= 0)
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{
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throw new ArgumentException("Delta must be positive", nameof(delta));
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}
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Delta = delta;
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_deltaSquared = delta * delta;
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@@ -65,7 +67,9 @@ public sealed class PseudoHuber : BiInputIndicatorBase
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public static TSeries Calculate(TSeries actual, TSeries predicted, int period, double delta = 1.0)
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{
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if (actual.Count != predicted.Count)
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{
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throw new ArgumentException("Actual and predicted series must have the same length", nameof(predicted));
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}
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int len = actual.Count;
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var t = new List<long>(len);
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@@ -89,14 +93,25 @@ public sealed class PseudoHuber : BiInputIndicatorBase
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public static void Batch(ReadOnlySpan<double> actual, ReadOnlySpan<double> predicted, Span<double> output, int period, double delta = 1.0)
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{
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if (actual.Length != predicted.Length || actual.Length != output.Length)
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{
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throw new ArgumentException("All spans 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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if (delta <= 0)
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{
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throw new ArgumentException("Delta must be positive", nameof(delta));
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}
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int len = actual.Length;
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if (len == 0) return;
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if (len == 0)
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{
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return;
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}
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// Pre-compute Pseudo-Huber errors using shared helper
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const int StackAllocThreshold = 256;
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@@ -109,4 +124,4 @@ public sealed class PseudoHuber : BiInputIndicatorBase
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// Apply rolling mean
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ErrorHelpers.ApplyRollingMean(errors, output, period);
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}
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}
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}
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