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[CodeFactor] Apply fixes to commit 4a01f03

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codefactor-io
2026-03-11 03:35:12 +00:00
parent 4a01f03cb4
commit 567fa89465
63 changed files with 293 additions and 302 deletions
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lib/filters/baxterking/BaxterKing.cs
+3 -3
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@@ -79,7 +79,7 @@ public sealed class BaxterKing : AbstractBase
_pLow = pLow;
_pHigh = pHigh;
_k = k;
_filterLen = 2 * k + 1;
_filterLen = (2 * k) + 1;
Name = $"BaxterKing({pLow},{pHigh},{k})";
WarmupPeriod = _filterLen;
@@ -218,7 +218,7 @@ public sealed class BaxterKing : AbstractBase
{
double a = 2.0 * Math.PI / pHigh; // low cutoff angular frequency
double b = 2.0 * Math.PI / pLow; // high cutoff angular frequency
int filterLen = 2 * k + 1;
int filterLen = (2 * k) + 1;
// Compute ideal band-pass weights B[j] for j = 0..K
// B_0 = (b - a) / pi
@@ -266,7 +266,7 @@ public sealed class BaxterKing : AbstractBase
public static void Batch(ReadOnlySpan<double> source, Span<double> output,
int pLow = 6, int pHigh = 32, int k = 12)
{
int filterLen = 2 * k + 1;
int filterLen = (2 * k) + 1;
double[] weights = new double[filterLen];
ComputeWeights(weights, pLow, pHigh, k);
lib/filters/bilateral/Bilateral.cs
+2 -2
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@@ -252,7 +252,7 @@ public sealed class Bilateral : AbstractBase
// Use Math.Max(0, ...) to handle potential floating point negative zero
// Pre-compute inverse for efficiency
double invCount = 1.0 / count;
double variance = Math.Max(0, (_state.SumSq - sum * sum * invCount) * invCount);
double variance = Math.Max(0, (_state.SumSq - (sum * sum * invCount)) * invCount);
double stdev = Math.Sqrt(variance);
double sigmaR = Math.Max(stdev * _sigmaRMult, 1e-10);
@@ -437,7 +437,7 @@ public sealed class Bilateral : AbstractBase
// Calculate StDev
double invCount = 1.0 / count;
double variance = Math.Max(0, (sumSq - sum * sum * invCount) * invCount);
double variance = Math.Max(0, (sumSq - (sum * sum * invCount)) * invCount);
double stdev = Math.Sqrt(variance);
double sigmaR = Math.Max(stdev * sigmaRMult, 1e-10);
lib/filters/loess/Loess.cs
+5 -5
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@@ -267,7 +267,7 @@ public sealed class Loess : AbstractBase
dist = 0.9999;
}
double t = 1.0 - dist * dist * dist;
double t = 1.0 - (dist * dist * dist);
double w = t * t * t;
double xi = i - halfWindow;
@@ -277,7 +277,7 @@ public sealed class Loess : AbstractBase
x2Sum += xi * xi * w;
}
double delta = weightSum * x2Sum - xSum * xSum;
double delta = (weightSum * x2Sum) - (xSum * xSum);
if (Math.Abs(delta) < double.Epsilon)
{
delta = 1.0;
@@ -293,12 +293,12 @@ public sealed class Loess : AbstractBase
dist = 0.9999;
}
double t = 1.0 - dist * dist * dist;
double t = 1.0 - (dist * dist * dist);
double w = t * t * t;
double xi = i - halfWindow;
double term1 = x2Sum - xi * xSum;
double term2 = targetX * (xi * weightSum - xSum);
double term1 = x2Sum - (xi * xSum);
double term2 = targetX * ((xi * weightSum) - xSum);
double kValue = (w / delta) * (term1 + term2);