feat: Add new CodeQL extension for C# and SonarLint configuration

- Introduced a new CodeQL extension for C# in `.github/codeql/extensions/quantalib-csharp/codeql-pack.yml`.
- Added SonarLint configuration in `.sonarlint/CSharp/SonarLint.xml` and `.sonarlint/csharp.ruleset` to suppress specific rules for high-performance indicators.
- Removed outdated `.vscode/launch.json` configurations.
- Updated `.vscode/tasks.json` to streamline build and test tasks, including renaming and consolidating tasks.
- Modified `Directory.Build.props` to enhance SARIF output directory handling and integrate SonarLint rules.
- Refactored various indicator classes to improve code clarity and maintainability, including updates to method parameters for consistency.
- Added XML documentation comments to several classes and methods for better code understanding.
- Improved numerical stability in calculations by replacing direct comparisons with `double.Epsilon` checks in multiple classes.

lib/trends_IIR/vama/Vama.cs

@@ -39,8 +39,8 @@ public sealed class Vama : AbstractBase
     {
         public static VamaState New() => new()
         {
-            ShortAtr = new RmaState(0, 1.0, false),
-            LongAtr = new RmaState(0, 1.0, false),
+            ShortAtr = new RmaState(Ema: 0, E: 1.0, IsCompensated: false),
+            LongAtr = new RmaState(Ema: 0, E: 1.0, IsCompensated: false),
             PrevClose = double.NaN,
             BufferHead = 0,
             BufferSum = 0,
@@ -244,7 +244,7 @@ public sealed class Vama : AbstractBase
             newHead,
             bufferSum,
             validCount,
-            true);
+            IsInitialized: true);
 
         Last = new TValue(input.Time, result);
         PubEvent(Last, isNew);
@@ -285,7 +285,7 @@ public sealed class Vama : AbstractBase
         for (int i = 0; i < len; i++)
         {
             var bar = source[i];
-            var result = Update(bar, true);
+            var result = Update(bar, isNew: true);
             tSpan[i] = bar.Time;
             vSpan[i] = result.Value;
         }
@@ -314,7 +314,7 @@ public sealed class Vama : AbstractBase
 
         for (int i = 0; i < len; i++)
         {
-            var result = Update(new TValue(sourceTimes[i], sourceValues[i]), true);
+            var result = Update(new TValue(sourceTimes[i], sourceValues[i]), isNew: true);
             tSpan[i] = sourceTimes[i];
             vSpan[i] = result.Value;
         }
@@ -330,7 +330,7 @@ public sealed class Vama : AbstractBase
         Reset();
         foreach (double val in source)
         {
-            Update(new TValue(DateTime.MinValue, val), true);
+            Update(new TValue(DateTime.MinValue, val), isNew: true);
         }
     }
 

lib/trends_IIR/yzvama/Yzvama.cs

@@ -37,8 +37,8 @@ public sealed class Yzvama : AbstractBase
     {
         public static YzvamaState New() => new()
         {
-            ShortVar = new RmaState(0, 1.0, false),
-            LongVar = new RmaState(0, 1.0, false),
+            ShortVar = new RmaState(Ema: 0, E: 1.0, IsCompensated: false),
+            LongVar = new RmaState(Ema: 0, E: 1.0, IsCompensated: false),
             PrevClose = double.NaN,
             SourceHead = 0,
             SourceSum = 0,
@@ -390,7 +390,7 @@ public sealed class Yzvama : AbstractBase
             validCount,
             yzvHead,
             yzvCount,
-            true);
+            IsInitialized: true);
 
         Last = new TValue(input.Time, result);
         PubEvent(Last, isNew);
@@ -428,7 +428,7 @@ public sealed class Yzvama : AbstractBase
         for (int i = 0; i < len; i++)
         {
             var bar = source[i];
-            var result = Update(bar, true);
+            var result = Update(bar, isNew: true);
             tSpan[i] = bar.Time;
             vSpan[i] = result.Value;
         }
@@ -457,7 +457,7 @@ public sealed class Yzvama : AbstractBase
 
         for (int i = 0; i < len; i++)
         {
-            var result = Update(new TValue(sourceTimes[i], sourceValues[i]), true);
+            var result = Update(new TValue(sourceTimes[i], sourceValues[i]), isNew: true);
             tSpan[i] = sourceTimes[i];
             vSpan[i] = result.Value;
         }
@@ -473,7 +473,7 @@ public sealed class Yzvama : AbstractBase
     {
         Reset();
         foreach (double val in source)
-            Update(new TValue(DateTime.MinValue, val), true);
+            Update(new TValue(DateTime.MinValue, val), isNew: true);
     }
 
     /// <summary>
@@ -484,7 +484,7 @@ public sealed class Yzvama : AbstractBase
     {
         Reset();
         foreach (TValue tv in source)
-            Update(tv, true);
+            Update(tv, isNew: true);
     }
 
     /// <summary>

lib/trends_IIR/zlema/Zlema.Validation.Tests.cs

@@ -7,7 +7,7 @@ public class ZlemaValidationTests
     [Fact]
     public void Zlema_Streaming_MatchesReference()
     {
-        int period = 20;
+        const int period = 20;
         TSeries series = BuildSeries(300, seed: 5);
         double[] reference = new double[series.Count];
 
@@ -24,7 +24,7 @@ public class ZlemaValidationTests
     [Fact]
     public void Zlema_Batch_MatchesReference()
     {
-        int period = 14;
+        const int period = 14;
         TSeries series = BuildSeries(250, seed: 9);
         double[] reference = new double[series.Count];
 
@@ -40,7 +40,7 @@ public class ZlemaValidationTests
     [Fact]
     public void Zlema_Span_MatchesReference()
     {
-        int period = 30;
+        const int period = 30;
         TSeries series = BuildSeries(200, seed: 12);
         double[] values = series.Values.ToArray();
         var output = new double[values.Length];