mirror of
https://github.com/mihakralj/QuanTAlib.git
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- Added SmaVector class for calculating multiple SMAs in parallel using SIMD. - Introduced RingBuffer class for efficient circular buffer management with running sum. - Implemented unit tests for RingBuffer to ensure correctness and performance. - Enhanced Add method in RingBuffer to support bar correction semantics. - Added methods for calculating Min and Max using SIMD acceleration. - Improved performance with pinned memory and direct span access for SIMD compatibility.
16 lines
342 B
INI
16 lines
342 B
INI
# EditorConfig for QuanTAlib
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root = true
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[*]
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indent_style = space
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indent_size = 4
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end_of_line = lf
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charset = utf-8
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trim_trailing_whitespace = true
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insert_final_newline = true
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[*.cs]
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# Suppress SonarQube S3776 - Cognitive Complexity
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# High-performance SIMD code intentionally has complex control flow
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dotnet_diagnostic.S3776.severity = none
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