fix(eda holes): canonical sample classifier + style normalization
- models.py: add classify_sample_family() SSOT (token-aware, DM-suffix gated, strong-contains fallback) + extend SAMPLE_FAMILIES cues → unclassified 89→34 uses (~93% classified); honest unknowns (armora, 90s_matrix) stay None. - models.py: STYLE_ALIASES + norm_style() merges nu-jazz/nujazz, breaks/breakbeat, chip/chiptune, hip-hop/hip so the style chart is honest. - tide_eda + tests use the canonical classifier (DRY); +3 mechanical tests (token cases, no-overreach incl. the shil-'oh' FP, style norm). 53 pass. - regen tokens (cues feed match[] arrays).
Showing
Please
register
or
sign in
to comment