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[CodeFactor] Apply fixes to commit d2fa0fc

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codefactor-io
2026-03-16 00:57:48 +00:00
parent d2fa0fc845
commit c0dad33d95
4 changed files with 47 additions and 47 deletions
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lib/statistics/adf/Adf.cs
+30 -30
View File
@@ -423,7 +423,7 @@ public sealed class Adf : AbstractBase
continue;
}
double aic = nObs * Math.Log(rss / nObs) + 2.0 * k;
double aic = (nObs * Math.Log(rss / nObs)) + (2.0 * k);
if (aic < bestAic)
{
bestAic = aic;
@@ -501,7 +501,7 @@ public sealed class Adf : AbstractBase
{
for (int c = r; c < k; c++)
{
xtx[r * k + c] += xRow[r] * xRow[c];
xtx[(r * k) + c] += xRow[r] * xRow[c];
}
xty[r] += xRow[r] * yVal;
}
@@ -512,7 +512,7 @@ public sealed class Adf : AbstractBase
{
for (int c = 0; c < r; c++)
{
xtx[r * k + c] = xtx[c * k + r];
xtx[(r * k) + c] = xtx[(c * k) + r];
}
}
@@ -624,7 +624,7 @@ public sealed class Adf : AbstractBase
{
for (int c = r; c < k; c++)
{
xtx[r * k + c] += xRow[r] * xRow[c];
xtx[(r * k) + c] += xRow[r] * xRow[c];
}
xty[r] += xRow[r] * yVal;
}
@@ -635,7 +635,7 @@ public sealed class Adf : AbstractBase
{
for (int c = 0; c < r; c++)
{
xtx[r * k + c] = xtx[c * k + r];
xtx[(r * k) + c] = xtx[(c * k) + r];
}
}
@@ -672,7 +672,7 @@ public sealed class Adf : AbstractBase
{
for (int c = r; c < k; c++)
{
xtx[r * k + c] += xRow[r] * xRow[c];
xtx[(r * k) + c] += xRow[r] * xRow[c];
}
}
}
@@ -680,7 +680,7 @@ public sealed class Adf : AbstractBase
{
for (int c = 0; c < r; c++)
{
xtx[r * k + c] = xtx[c * k + r];
xtx[(r * k) + c] = xtx[(c * k) + r];
}
}
@@ -726,7 +726,7 @@ public sealed class Adf : AbstractBase
return (0, 1.0);
}
double seGamma = Math.Sqrt(s2 * xtxInv[gammaIdx * k + gammaIdx]);
double seGamma = Math.Sqrt(s2 * xtxInv[(gammaIdx * k) + gammaIdx]);
if (seGamma <= 1e-15 || !double.IsFinite(seGamma))
{
return (0, 1.0);
@@ -758,10 +758,10 @@ public sealed class Adf : AbstractBase
{
for (int j = 0; j <= i; j++)
{
double sum = A[i * k + j];
double sum = A[(i * k) + j];
for (int p = 0; p < j; p++)
{
sum -= L[i * k + p] * L[j * k + p];
sum -= L[(i * k) + p] * L[(j * k) + p];
}
if (i == j)
@@ -770,11 +770,11 @@ public sealed class Adf : AbstractBase
{
return false; // Not positive definite
}
L[i * k + j] = Math.Sqrt(sum);
L[(i * k) + j] = Math.Sqrt(sum);
}
else
{
L[i * k + j] = sum / L[j * k + j];
L[(i * k) + j] = sum / L[(j * k) + j];
}
}
}
@@ -786,9 +786,9 @@ public sealed class Adf : AbstractBase
double sum = b[i];
for (int j = 0; j < i; j++)
{
sum -= L[i * k + j] * z[j];
sum -= L[(i * k) + j] * z[j];
}
z[i] = sum / L[i * k + i];
z[i] = sum / L[(i * k) + i];
}
// Back substitution: L'·x = z
@@ -797,9 +797,9 @@ public sealed class Adf : AbstractBase
double sum = z[i];
for (int j = i + 1; j < k; j++)
{
sum -= L[j * k + i] * x[j];
sum -= L[(j * k) + i] * x[j];
}
x[i] = sum / L[i * k + i];
x[i] = sum / L[(i * k) + i];
}
return true;
@@ -819,10 +819,10 @@ public sealed class Adf : AbstractBase
{
for (int j = 0; j <= i; j++)
{
double sum = A[i * k + j];
double sum = A[(i * k) + j];
for (int p = 0; p < j; p++)
{
sum -= L[i * k + p] * L[j * k + p];
sum -= L[(i * k) + p] * L[(j * k) + p];
}
if (i == j)
@@ -831,11 +831,11 @@ public sealed class Adf : AbstractBase
{
return false;
}
L[i * k + j] = Math.Sqrt(sum);
L[(i * k) + j] = Math.Sqrt(sum);
}
else
{
L[i * k + j] = sum / L[j * k + j];
L[(i * k) + j] = sum / L[(j * k) + j];
}
}
}
@@ -845,15 +845,15 @@ public sealed class Adf : AbstractBase
Linv.Clear();
for (int i = 0; i < k; i++)
{
Linv[i * k + i] = 1.0 / L[i * k + i];
Linv[(i * k) + i] = 1.0 / L[(i * k) + i];
for (int j = i + 1; j < k; j++)
{
double sum = 0;
for (int p = i; p < j; p++)
{
sum -= L[j * k + p] * Linv[p * k + i];
sum -= L[(j * k) + p] * Linv[(p * k) + i];
}
Linv[j * k + i] = sum / L[j * k + j];
Linv[(j * k) + i] = sum / L[(j * k) + j];
}
}
@@ -866,10 +866,10 @@ public sealed class Adf : AbstractBase
double sum = 0;
for (int p = j; p < k; p++)
{
sum += Linv[p * k + i] * Linv[p * k + j];
sum += Linv[(p * k) + i] * Linv[(p * k) + j];
}
Ainv[i * k + j] = sum;
Ainv[j * k + i] = sum;
Ainv[(i * k) + j] = sum;
Ainv[(j * k) + i] = sum;
}
}
@@ -947,7 +947,7 @@ public sealed class Adf : AbstractBase
if (tStat <= tauStar)
{
// Small p-value region: p = NormCdf(poly3(tStat))
double poly = smallP[0] + smallP[1] * tStat + smallP[2] * tStat * tStat;
double poly = smallP[0] + (smallP[1] * tStat) + (smallP[2] * tStat * tStat);
return NormCdf(poly);
}
else
@@ -955,7 +955,7 @@ public sealed class Adf : AbstractBase
// Large p-value region: p = NormCdf(poly4(tStat))
double t2 = tStat * tStat;
double t3 = t2 * tStat;
double poly = largeP[0] + largeP[1] * tStat + largeP[2] * t2 + largeP[3] * t3;
double poly = largeP[0] + (largeP[1] * tStat) + (largeP[2] * t2) + (largeP[3] * t3);
return NormCdf(poly);
}
}
@@ -1002,11 +1002,11 @@ public sealed class Adf : AbstractBase
double t4 = t3 * t;
double t5 = t4 * t;
double poly = a1 * t + a2 * t2 + a3 * t3 + a4 * t4 + a5 * t5;
double poly = (a1 * t) + (a2 * t2) + (a3 * t3) + (a4 * t4) + (a5 * t5);
double erfcZ = poly * Math.Exp(-z * z);
double erfZ = 1.0 - erfcZ;
// Φ(x) = 0.5 · (1 + sign · erf(|x|/√2))
return 0.5 * (1.0 + sign * erfZ);
return 0.5 * (1.0 + (sign * erfZ));
}
}
lib/statistics/adf/tests/Adf.Quantower.Tests.cs
+1 -1
View File
@@ -184,7 +184,7 @@ public sealed class AdfIndicatorTests
for (int i = 0; i < 30; i++)
{
indicator.HistoricalData.AddBar(
now.AddMinutes(i), 100 + i * 0.5, 105 + i * 0.5, 95 + i * 0.5, 102 + i * 0.5);
now.AddMinutes(i), 100 + (i * 0.5), 105 + (i * 0.5), 95 + (i * 0.5), 102 + (i * 0.5));
var reason = i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar;
indicator.ProcessUpdate(new UpdateArgs(reason));
lib/statistics/adf/tests/Adf.Tests.cs
+6 -6
View File
@@ -374,7 +374,7 @@ public class AdfConsistencyTests
double price = 100;
for (int i = 0; i < 30; i++)
{
price += rng.NextDouble() * 2 - 1;
price += (rng.NextDouble() * 2) - 1;
data[i] = price;
}
@@ -400,7 +400,7 @@ public class AdfSpecificTests
for (int i = 0; i < 200; i++)
{
y = 100 + 0.5 * (y - 100) + rng.NextDouble() * 2 - 1;
y = 100 + (0.5 * (y - 100)) + (rng.NextDouble() * 2) - 1;
a.Update(new TValue(now.AddMinutes(i), y));
}
@@ -419,7 +419,7 @@ public class AdfSpecificTests
for (int i = 0; i < 200; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
a.Update(new TValue(now.AddMinutes(i), y));
}
@@ -435,7 +435,7 @@ public class AdfSpecificTests
var source = new TSeries();
for (int i = 0; i < 80; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
source.Add(new TValue(DateTime.UtcNow.AddMinutes(i), y));
}
@@ -464,7 +464,7 @@ public class AdfSpecificTests
var source = new TSeries();
for (int i = 0; i < 100; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
source.Add(new TValue(DateTime.UtcNow.AddMinutes(i), y));
}
@@ -485,7 +485,7 @@ public class AdfSpecificTests
var source = new TSeries();
for (int i = 0; i < 200; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
source.Add(new TValue(DateTime.UtcNow.AddMinutes(i), y));
}
lib/statistics/adf/tests/Adf.Validation.Tests.cs
+10 -10
View File
@@ -44,7 +44,7 @@ public class AdfValidationTests
for (int i = 0; i < 500; i++)
{
y = 0.3 * y + rng.NextDouble() * 2 - 1;
y = (0.3 * y) + (rng.NextDouble() * 2) - 1;
a.Update(new TValue(now.AddMinutes(i), 100 + y));
}
@@ -63,7 +63,7 @@ public class AdfValidationTests
for (int i = 0; i < 500; i++)
{
double noise = rng.NextDouble() * 10 - 5; // zero-centered white noise
double noise = (rng.NextDouble() * 10) - 5; // zero-centered white noise
a.Update(new TValue(now.AddMinutes(i), noise));
}
@@ -85,7 +85,7 @@ public class AdfValidationTests
for (int i = 0; i < 500; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
a.Update(new TValue(now.AddMinutes(i), y));
}
@@ -101,7 +101,7 @@ public class AdfValidationTests
for (int i = 0; i < 100; i++)
{
a.Update(new TValue(now.AddMinutes(i), 100.0 + i * 0.1));
a.Update(new TValue(now.AddMinutes(i), 100.0 + (i * 0.1)));
}
// Linear trend without constant/trend in model should appear non-stationary
@@ -125,7 +125,7 @@ public class AdfValidationTests
double y = 0;
for (int i = 0; i < 100; i++)
{
y = -0.9 * y + rng.NextDouble() * 0.1;
y = (-0.9 * y) + (rng.NextDouble() * 0.1);
a.Update(new TValue(now.AddMinutes(i), 50 + y));
}
@@ -145,7 +145,7 @@ public class AdfValidationTests
var source = new TSeries();
for (int i = 0; i < 80; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
source.Add(new TValue(DateTime.UtcNow.AddMinutes(i), y));
}
@@ -203,7 +203,7 @@ public class AdfValidationTests
var data = new List<TValue>();
for (int i = 0; i < 40; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
data.Add(new TValue(DateTime.UtcNow.AddMinutes(i), y));
}
@@ -240,7 +240,7 @@ public class AdfValidationTests
for (int i = 0; i < 100; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
a.Update(new TValue(now.AddMinutes(i), y));
}
@@ -263,7 +263,7 @@ public class AdfValidationTests
for (int i = 0; i < 25; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
a.Update(new TValue(now.AddMinutes(i), y));
}
@@ -281,7 +281,7 @@ public class AdfValidationTests
for (int i = 0; i < 50; i++)
{
y += rng.NextDouble() * 2 - 1;
y += (rng.NextDouble() * 2) - 1;
a.Update(new TValue(now.AddMinutes(i), y));
}