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/core/simd/SimdExtensions.cs

@@ -266,8 +266,8 @@ public static class SimdExtensions
     }
 
     /// <summary>
-    /// Calculates variance using SIMD vectorization (Welford's online algorithm adapted).
-    /// More numerically stable than naive two-pass algorithm.
+    /// Calculates variance using a two-pass SIMD variant that computes the mean first (via AverageSIMD) and then sums squared differences to produce variance.
+    /// Note that this is not the single-pass Welford algorithm.
     /// Returns NaN if any input value is non-finite or if mean is non-finite.
     /// </summary>
     [MethodImpl(MethodImplOptions.AggressiveInlining)]