Add TRIMA implementation and benchmarks; optimize WMA with SIMD

- Introduced `TrimaVector` class for multi-period Triangular Moving Average (TRIMA) calculations, optimized for SIMD.
- Implemented last-value substitution for invalid inputs in TRIMA.
- Added methods for calculating TRIMA for entire series and individual updates.
- Enhanced `Wma` class with periodic resync to prevent floating-point drift and introduced SIMD optimizations for performance.
- Updated benchmark suite to include TRIMA calculations alongside existing SMA, EMA, and WMA benchmarks.

.codacy/codacy.yaml

@@ -1,15 +1,6 @@
 runtimes:
-    - dart@3.7.2
-    - go@1.22.3
-    - java@17.0.10
-    - node@22.2.0
     - python@3.11.11
 tools:
-    - dartanalyzer@3.7.2
-    - eslint@8.57.0
     - lizard@1.17.31
-    - pmd@7.11.0
-    - pylint@3.3.6
-    - revive@1.7.0
     - semgrep@1.78.0
     - trivy@0.66.0