Enhance code quality and stability across various modules

- Updated .coderabbit.yaml to exclude additional file types from reviews, improving the focus on relevant code changes.
- Modified scanner.sh to handle test failures more gracefully, ensuring that analysis stops on test failures and improving logging.
- Improved sonarscanner.sh to ensure build and test failures are properly reported, enhancing CI reliability.
- Refined SimdExtensions.cs documentation for clarity on variance calculation methods.
- Cleaned up TSeries.Tests.cs by simplifying the test structure and ensuring proper namespace usage.
- Fixed potential issues in tseries.cs by ensuring correct handling of DateTime values.
- Enhanced CsvFeed.cs to improve error handling during CSV parsing, ensuring robustness against malformed data.
- Updated GBM.cs to correctly calculate volume in the current bar, ensuring accurate simulation.
- Adjusted index.html to use globalThis for better compatibility across environments.
- Refined quantalib.csproj to exclude unnecessary files from compilation, streamlining the build process.
- Added comprehensive tests for the Mama class to ensure correct behavior during updates and state management.
- Improved error handling in various trend classes (Kama, Dema, Ema, T3, Tema, Wma) to ensure NaN values are managed correctly.
- Removed redundant Mama.Repro.Tests.cs file and consolidated tests into Mama.Tests.cs for better organization.
- Enhanced T3 and Tema classes to maintain state integrity during updates, particularly with NaN values.

lib/trends/t3/T3.Tests.cs

@@ -1,3 +1,5 @@
+using Xunit;
+using System;
 
 namespace QuanTAlib.Tests;
 
@@ -101,4 +103,29 @@ public class T3Tests
         // Check last values match
         Assert.Equal(resSeries.Last.Value, resSpan[count-1], 1e-9);
     }
+
+    [Fact]
+    public void T3_BarCorrection_WithNaN_RestoresPreviousValidValue()
+    {
+        var t3 = new T3(10);
+        var time = DateTime.UtcNow;
+
+        // Step 1: Update with valid value
+        t3.Update(new TValue(time, 100), isNew: true);
+        
+        // Step 2: Update with another valid value
+        t3.Update(new TValue(time.AddMinutes(1), 200), isNew: true);
+        double valAfter200 = t3.Last.Value;
+
+        // Step 3: Correct with NaN (should use 100)
+        t3.Update(new TValue(time.AddMinutes(1), double.NaN), isNew: false);
+        double valAfterNaN = t3.Last.Value;
+
+        // Step 4: Correct with 100 (should match NaN result)
+        t3.Update(new TValue(time.AddMinutes(1), 100), isNew: false);
+        double valAfter100 = t3.Last.Value;
+
+        Assert.NotEqual(valAfter200, valAfterNaN); // Should not be the same as 200
+        Assert.Equal(valAfter100, valAfterNaN, 1e-9); // Should be the same as using 100
+    }
 }

lib/trends/t3/T3.cs

@@ -83,6 +83,7 @@ public sealed class T3 : ITValuePublisher
     private State _state = State.New();
     private State _p_state = State.New();
     private double _lastValidValue;
+    private double _p_lastValidValue;
 
     /// <summary>
     /// Display name for the indicator.
@@ -157,10 +158,12 @@ public sealed class T3 : ITValuePublisher
         if (isNew)
         {
             _p_state = _state;
+            _p_lastValidValue = _lastValidValue;
         }
         else
         {
             _state = _p_state;
+            _lastValidValue = _p_lastValidValue;
         }
 
         double val = GetValidValue(input.Value);
@@ -196,6 +199,7 @@ public sealed class T3 : ITValuePublisher
         sourceTimes.CopyTo(tSpan);
 
         _p_state = _state;
+        _p_lastValidValue = _lastValidValue;
         Last = new TValue(tSpan[len - 1], vSpan[len - 1]);
 
         return new TSeries(t, v);
@@ -283,6 +287,7 @@ public sealed class T3 : ITValuePublisher
         _state = State.New();
         _p_state = _state;
         _lastValidValue = 0;
+        _p_lastValidValue = 0;
         Last = default;
     }
 }