[CodeFactor] Apply fixes to commit 0606491

lib/numerics/betadist/tests/Betadist.Tests.cs

@@ -524,7 +524,7 @@ public class BetadistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/betadist/tests/Betadist.Validation.Tests.cs

@@ -115,7 +115,7 @@ public class BetadistValidationTests
 
         for (int i = 0; i <= 10; i++)
         {
-            double x = i / 10.0 + 1e-10; // avoid exact 0
+            double x = (i / 10.0) + 1e-10; // avoid exact 0
             x = Math.Min(x, 1.0 - 1e-10);
             double cdf = Betadist.IncompleteBeta(x, alpha, beta);
 

lib/numerics/binomdist/tests/Binomdist.Tests.cs

@@ -489,7 +489,7 @@ public class BinomdistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/change/tests/Change.Validation.Tests.cs

@@ -249,8 +249,8 @@ public class ChangeValidationTests
             0.0,
             0.1,                        // (110-100)/100
             -0.1,                       // (99-110)/110
-            120.0 / 99.0 - 1.0,         // (120-99)/99
-            100.0 / 120.0 - 1.0         // (100-120)/120
+            (120.0 / 99.0) - 1.0,         // (120-99)/99
+            (100.0 / 120.0) - 1.0         // (100-120)/120
         ];
 
         var indicator = new Change(period);

lib/numerics/cwt/tests/Cwt.Tests.cs

@@ -496,7 +496,7 @@ public class CwtTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/dwt/tests/Dwt.Tests.cs

@@ -518,7 +518,7 @@ public class DwtTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/expdist/tests/Expdist.Tests.cs

@@ -516,7 +516,7 @@ public class ExpdistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/fdist/tests/Fdist.Tests.cs

@@ -535,7 +535,7 @@ public class FdistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/fdist/tests/Fdist.Validation.Tests.cs

@@ -213,7 +213,7 @@ public class FdistValidationTests
     public void FdistCdf_ParameterCombos_OutputBounded(int d1, int d2, int period)
     {
         int count = period + 50;
-        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 66004 + d1 * 100 + d2);
+        var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 66004 + (d1 * 100) + d2);
         var bars = gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
 
         var indicator = new Fdist(d1, d2, period);

lib/numerics/fft/tests/Fft.Tests.cs

@@ -524,7 +524,7 @@ public class FftTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.2) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.2) * 10.0);
         }
 
         double[] dst = new double[count];
@@ -589,7 +589,7 @@ public class FftTests
         var time = DateTime.UtcNow;
         for (int i = 0; i < windowSize; i++)
         {
-            source.Add(new TValue(time.AddMinutes(i), 100.0 + Math.Sin(i * 0.5) * 5.0), true);
+            source.Add(new TValue(time.AddMinutes(i), 100.0 + (Math.Sin(i * 0.5) * 5.0)), true);
         }
 
         Assert.True(indicator.IsHot);
@@ -648,7 +648,7 @@ public class FftTests
         // Feed 3x the window size to ensure convergence
         for (int i = 0; i < windowSize * 3; i++)
         {
-            double signal = 50.0 + 10.0 * Math.Sin(2.0 * Math.PI * i / period);
+            double signal = 50.0 + (10.0 * Math.Sin(2.0 * Math.PI * i / period));
             indicator.Update(new TValue(time.AddMinutes(i), signal), true);
         }
 

lib/numerics/gammadist/tests/Gammadist.Tests.cs

@@ -550,7 +550,7 @@ public class GammadistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/ifft/tests/Ifft.Tests.cs

@@ -499,7 +499,7 @@ public class IfftTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.2) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.2) * 10.0);
         }
 
         double[] dst = new double[count];
@@ -564,7 +564,7 @@ public class IfftTests
         var time = DateTime.UtcNow;
         for (int i = 0; i < windowSize; i++)
         {
-            source.Add(new TValue(time.AddMinutes(i), 100.0 + Math.Sin(i * 0.5) * 5.0), true);
+            source.Add(new TValue(time.AddMinutes(i), 100.0 + (Math.Sin(i * 0.5) * 5.0)), true);
         }
 
         Assert.True(indicator.IsHot);
@@ -657,10 +657,10 @@ public class IfftTests
         for (int i = 0; i < count; i++)
         {
             double v = 100.0
-                + 10.0 * Math.Sin(twoPiOverN * 1 * i)
-                + 10.0 * Math.Sin(twoPiOverN * 2 * i)
-                + 10.0 * Math.Sin(twoPiOverN * 4 * i)
-                + 10.0 * Math.Sin(twoPiOverN * 8 * i);
+                + (10.0 * Math.Sin(twoPiOverN * 1 * i))
+                + (10.0 * Math.Sin(twoPiOverN * 2 * i))
+                + (10.0 * Math.Sin(twoPiOverN * 4 * i))
+                + (10.0 * Math.Sin(twoPiOverN * 8 * i));
             values.Add(new TValue(time.AddMinutes(i), v));
         }
 

lib/numerics/ifft/tests/Ifft.Validation.Tests.cs

@@ -91,7 +91,7 @@ public class IfftValidationTests
         var values = new List<TValue>(count);
         for (int i = 0; i < count; i++)
         {
-            values.Add(new TValue(time.AddMinutes(i), 100.0 + 30.0 * Math.Sin(twoPiOverN * 1 * i)));
+            values.Add(new TValue(time.AddMinutes(i), 100.0 + (30.0 * Math.Sin(twoPiOverN * 1 * i))));
         }
 
         var indH1 = new Ifft(windowSize, numHarmonics: 1);
@@ -294,7 +294,7 @@ public class IfftValidationTests
 
         for (int i = 0; i < count; i++)
         {
-            double v = 100.0 + 25.0 * Math.Sin(twoPiOverN * 1 * i);
+            double v = 100.0 + (25.0 * Math.Sin(twoPiOverN * 1 * i));
             indH1.Update(new TValue(time.AddMinutes(i), v));
             if (indH1.IsHot)
             {

lib/numerics/jerk/tests/Jerk.Tests.cs

@@ -328,7 +328,7 @@ public class JerkTests
 
         for (int i = 0; i < 30; i++)
         {
-            source.Add(now.AddSeconds(i), 100 + i * 0.5);
+            source.Add(now.AddSeconds(i), 100 + (i * 0.5));
         }
 
         var (results, indicator) = Jerk.Calculate(source);

lib/numerics/lineartrans/tests/Lineartrans.Validation.Tests.cs

@@ -23,7 +23,7 @@ public class LineartransValidationTests
 
         for (int i = 0; i < series.Count; i++)
         {
-            double expected = slope * series[i].Value + intercept;
+            double expected = (slope * series[i].Value) + intercept;
             Assert.Equal(expected, result[i].Value, Tolerance);
         }
     }
@@ -41,7 +41,7 @@ public class LineartransValidationTests
         for (int i = 0; i < series.Count; i++)
         {
             var result = linear.Update(series[i], true);
-            double expected = slope * series[i].Value + intercept;
+            double expected = (slope * series[i].Value) + intercept;
             Assert.Equal(expected, result.Value, Tolerance);
         }
     }
@@ -59,7 +59,7 @@ public class LineartransValidationTests
 
         for (int i = 0; i < source.Length; i++)
         {
-            double expected = slope * source[i] + intercept;
+            double expected = (slope * source[i]) + intercept;
             Assert.Equal(expected, output[i], Tolerance);
         }
     }
@@ -111,7 +111,7 @@ public class LineartransValidationTests
 
         // Direct composed transform: y = c*(a*x + b) + d = (a*c)*x + (b*c + d)
         double composedSlope = a * c;
-        double composedIntercept = b * c + d;
+        double composedIntercept = (b * c) + d;
         var direct = Lineartrans.Batch(series, composedSlope, composedIntercept);
 
         for (int i = 0; i < series.Count; i++)

lib/numerics/lognormdist/tests/Lognormdist.Tests.cs

@@ -498,7 +498,7 @@ public class LognormdistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/normalize/tests/Normalize.Validation.Tests.cs

@@ -163,9 +163,9 @@ public class NormalizeValidationTests
 
         norm.Update(new TValue(DateTime.UtcNow, baseVal));
         norm.Update(new TValue(DateTime.UtcNow, baseVal + epsilon));
-        norm.Update(new TValue(DateTime.UtcNow, baseVal + epsilon / 2));
-        norm.Update(new TValue(DateTime.UtcNow, baseVal + epsilon / 4));
-        var result = norm.Update(new TValue(DateTime.UtcNow, baseVal + epsilon * 0.75));
+        norm.Update(new TValue(DateTime.UtcNow, baseVal + (epsilon / 2)));
+        norm.Update(new TValue(DateTime.UtcNow, baseVal + (epsilon / 4)));
+        var result = norm.Update(new TValue(DateTime.UtcNow, baseVal + (epsilon * 0.75)));
 
         // Should be in valid range
         Assert.True(result.Value >= 0.0 && result.Value <= 1.0);

lib/numerics/normdist/tests/Normdist.Tests.cs

@@ -512,7 +512,7 @@ public class NormdistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/poissondist/tests/Poissondist.Tests.cs

@@ -487,7 +487,7 @@ public class PoissondistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/slope/tests/Slope.Validation.Tests.cs

@@ -155,7 +155,7 @@ public class SlopeValidationTests
         double[] data = new double[count];
         for (int i = 0; i < count; i++)
         {
-            data[i] = 100.0 + i * 0.5;
+            data[i] = 100.0 + (i * 0.5);
         }
 
         var slope = new Slope();

lib/numerics/tdist/tests/Tdist.Tests.cs

@@ -510,7 +510,7 @@ public class TdistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];

lib/numerics/tdist/tests/Tdist.Validation.Tests.cs

@@ -249,7 +249,7 @@ public class TdistValidationTests
         // Cauchy (ν=1): CDF(100; 1) = 0.5 + arctan(100)/π ≈ 0.99681...
         // Heavy tails — does NOT approach 1 quickly
         double cdf = Tdist.StaticCdf(100.0, 1);
-        double expected = 0.5 + Math.Atan(100.0) / Math.PI;
+        double expected = 0.5 + (Math.Atan(100.0) / Math.PI);
         Assert.Equal(expected, cdf, 1e-9);
         Assert.True(cdf > 0.99 && cdf < 1.0, $"Cauchy CDF(100) = {cdf} should be in (0.99, 1.0)");
     }
@@ -269,7 +269,7 @@ public class TdistValidationTests
     {
         // Cauchy (ν=1): CDF(-100; 1) = 0.5 - arctan(100)/π ≈ 0.00319...
         double cdf = Tdist.StaticCdf(-100.0, 1);
-        double expected = 0.5 - Math.Atan(100.0) / Math.PI;
+        double expected = 0.5 - (Math.Atan(100.0) / Math.PI);
         Assert.Equal(expected, cdf, 1e-9);
         Assert.True(cdf > 0.0 && cdf < 0.01, $"Cauchy CDF(-100) = {cdf} should be in (0, 0.01)");
     }

lib/numerics/weibulldist/tests/Weibulldist.Tests.cs

@@ -556,7 +556,7 @@ public class WeibulldistTests
         double[] src = new double[count];
         for (int i = 0; i < count; i++)
         {
-            src[i] = 100.0 + Math.Sin(i * 0.1) * 10.0;
+            src[i] = 100.0 + (Math.Sin(i * 0.1) * 10.0);
         }
 
         double[] dst = new double[count];