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v2.9.1
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GitGalaxy v2.9.1
Retrained archetype models — function (k=14), file (k=18), and file/repo composition brains (k=15 / k=7) retrained on the full 739-repo v2.9.0 corpus (8.27M functions, 1.49M files). All classification levels self-validate at 100%; detection accuracy unchanged. (#3196)
Detection
- Resolve same-extension collisions (
.py,.sql,.m,.cmd) by sibling content instead of extension counts — closes the largest detection error class; determinable accuracy 0.9985 → 1.0. (#3190, #3132, #3137) - Data-shape fast-exit for wordlist/dictionary files — ~5× faster on extensionless data files, byte-identical output. (#3194, #3188)
Docs
- Claim 11: the multi-signal language-detection architecture. (#3193)
- Mainframe family (hlasm / pli / bms / rexx / db2_sql) added to the tri-comparison chart. (#3191)
Note: the retrained archetypes change func_archetype / file_archetype / composition outputs — re-scan with v2.9.1 for the new values (old output DBs do not self-update).