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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/channels/regchannel/Regchannel.cs
+13 -13
View File
@@ -105,9 +105,9 @@ public sealed class Regchannel : ITValuePublisher
// sumX = 0 + 1 + ... + (n-1) = n(n-1)/2
_sumX = 0.5 * period * (period - 1);
// sumX2 = 0² + 1² + ... + (n-1)² = (n-1)n(2n-1)/6
double sumX2 = (period - 1.0) * period * (2.0 * period - 1.0) / 6.0;
double sumX2 = (period - 1.0) * period * ((2.0 * period) - 1.0) / 6.0;
// denominator = n * sumX2 - sumX²
_denominator = period * sumX2 - _sumX * _sumX;
_denominator = (period * sumX2) - (_sumX * _sumX);
Reset();
}
@@ -218,8 +218,8 @@ public sealed class Regchannel : ITValuePublisher
if (count < _period)
{
sx = 0.5 * n * (n - 1);
double sx2 = (n - 1.0) * n * (2.0 * n - 1.0) / 6.0;
denom = n * sx2 - sx * sx;
double sx2 = (n - 1.0) * n * ((2.0 * n) - 1.0) / 6.0;
denom = (n * sx2) - (sx * sx);
}
double slope, intercept, regression;
@@ -232,8 +232,8 @@ public sealed class Regchannel : ITValuePublisher
}
else
{
slope = (n * sumXY - sx * sumY) / denom;
intercept = (sumY - slope * sx) / n;
slope = ((n * sumXY) - (sx * sumY)) / denom;
intercept = (sumY - (slope * sx)) / n;
// Regression value at current point (x = count - 1)
regression = Math.FusedMultiplyAdd(slope, count - 1, intercept);
}
@@ -362,8 +362,8 @@ public sealed class Regchannel : ITValuePublisher
// Precompute constants for full period
double sumXFull = 0.5 * period * (period - 1);
double sumX2Full = (period - 1.0) * period * (2.0 * period - 1.0) / 6.0;
double denomFull = period * sumX2Full - sumXFull * sumXFull;
double sumX2Full = (period - 1.0) * period * ((2.0 * period) - 1.0) / 6.0;
double denomFull = (period * sumX2Full) - (sumXFull * sumXFull);
// Circular buffer of NaN-sanitised values for O(1) sliding-window recurrences.
const int StackAllocThreshold = 256;
@@ -442,8 +442,8 @@ public sealed class Regchannel : ITValuePublisher
if (count < period)
{
sx = 0.5 * n * (n - 1);
double sx2 = (n - 1.0) * n * (2.0 * n - 1.0) / 6.0;
denom = n * sx2 - sx * sx;
double sx2 = (n - 1.0) * n * ((2.0 * n) - 1.0) / 6.0;
denom = (n * sx2) - (sx * sx);
}
else
{
@@ -461,14 +461,14 @@ public sealed class Regchannel : ITValuePublisher
}
else
{
slope = (n * sumXY - sx * sumY) / denom;
intercept = (sumY - slope * sx) / n;
slope = ((n * sumXY) - (sx * sumY)) / denom;
intercept = (sumY - (slope * sx)) / n;
regression = Math.FusedMultiplyAdd(slope, count - 1, intercept);
}
// Closed-form residual variance (normal-equation identity):
// sumResiduals² = sumY² − intercept·sumY − slope·sumXY
double sumResiduals2 = Math.Max(0.0, sumY2 - intercept * sumY - slope * sumXY);
double sumResiduals2 = Math.Max(0.0, sumY2 - (intercept * sumY) - (slope * sumXY));
double stdDev = Math.Sqrt(sumResiduals2 / n);
double band = multiplier * stdDev;
lib/channels/sdchannel/Sdchannel.cs
+12 -12
View File
@@ -105,9 +105,9 @@ public sealed class Sdchannel : ITValuePublisher
// sumX = 0 + 1 + ... + (n-1) = n(n-1)/2
_sumX = 0.5 * period * (period - 1);
// sumX2 = 0² + 1² + ... + (n-1)² = (n-1)n(2n-1)/6
double sumX2 = (period - 1.0) * period * (2.0 * period - 1.0) / 6.0;
double sumX2 = (period - 1.0) * period * ((2.0 * period) - 1.0) / 6.0;
// denominator = n * sumX2 - sumX²
_denominator = period * sumX2 - _sumX * _sumX;
_denominator = (period * sumX2) - (_sumX * _sumX);
Reset();
}
@@ -218,8 +218,8 @@ public sealed class Sdchannel : ITValuePublisher
if (count < _period)
{
sx = 0.5 * n * (n - 1);
double sx2 = (n - 1.0) * n * (2.0 * n - 1.0) / 6.0;
denom = n * sx2 - sx * sx;
double sx2 = (n - 1.0) * n * ((2.0 * n) - 1.0) / 6.0;
denom = (n * sx2) - (sx * sx);
}
double slope, intercept, regression;
@@ -232,8 +232,8 @@ public sealed class Sdchannel : ITValuePublisher
}
else
{
slope = (n * sumXY - sx * sumY) / denom;
intercept = (sumY - slope * sx) / n;
slope = ((n * sumXY) - (sx * sumY)) / denom;
intercept = (sumY - (slope * sx)) / n;
// Regression value at current point (x = count - 1)
regression = Math.FusedMultiplyAdd(slope, count - 1, intercept);
}
@@ -362,8 +362,8 @@ public sealed class Sdchannel : ITValuePublisher
// Precompute constants for full period
double sumXFull = 0.5 * period * (period - 1);
double sumX2Full = (period - 1.0) * period * (2.0 * period - 1.0) / 6.0;
double denomFull = period * sumX2Full - sumXFull * sumXFull;
double sumX2Full = (period - 1.0) * period * ((2.0 * period) - 1.0) / 6.0;
double denomFull = (period * sumX2Full) - (sumXFull * sumXFull);
// Circular buffer of NaN-sanitised values for O(1) sliding-window recurrences.
const int StackAllocThreshold = 256;
@@ -441,8 +441,8 @@ public sealed class Sdchannel : ITValuePublisher
if (count < period)
{
sx = 0.5 * n * (n - 1);
double sx2 = (n - 1.0) * n * (2.0 * n - 1.0) / 6.0;
denom = n * sx2 - sx * sx;
double sx2 = (n - 1.0) * n * ((2.0 * n) - 1.0) / 6.0;
denom = (n * sx2) - (sx * sx);
}
else
{
@@ -460,8 +460,8 @@ public sealed class Sdchannel : ITValuePublisher
}
else
{
slope = (n * sumXY - sx * sumY) / denom;
intercept = (sumY - slope * sx) / n;
slope = ((n * sumXY) - (sx * sumY)) / denom;
intercept = (sumY - (slope * sx)) / n;
regression = Math.FusedMultiplyAdd(slope, count - 1, intercept);
}