mirror of
https://github.com/metabarcoding/obitools4.git
synced 2026-11-09 17:24:41 +00:00
Eric Coissac
49225030ca
This update introduces the core clustering algorithm, including parallel execution, dynamic block sizing, and SIMD-accelerated scoring methods. It also adds robust sequence preparation, k-mer analysis, and comprehensive test data fixtures for validation.
18 lines
461 B
Go
18 lines
461 B
Go
//go:build !goexperiment.simd
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package obialign
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const haveSIMD = false
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// encodeBases and bandedLCSSIMD are never called without GOEXPERIMENT=simd
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// (haveSIMD is false); they exist to keep the dispatcher uniform.
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func encodeBases(ws *bandedLCSWorkspace, a, b []byte) {}
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func bandedLCSSIMD(lA, lB, kmin, kmax int, ws *bandedLCSWorkspace) uint32 {
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return 0
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}
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func lcsScoreSIMD(a, b []byte, kmin, kmax, minLCS int, ws *bandedLCSWorkspace) int {
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return -1
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}
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