nx_vidclass_census.nx
buildroot/runtime/nx_vidclass_census.nx
about
nx_vidclass_census.nx -- HONEST HAVE/PARTIAL/GAP census for the VIDEO-CLASSIFICATION SYSTEM (operator 2026-07-12:
detect orgasm / sexual positions / dancing+which-dance / behaviors -> a GROWING analysis library -> coach (SFW
training) + sexual-therapy + want-to-see/skip curation; "make the data actionable"). Maps what the sovereign
engine genuinely HAS (the live T1 demux-marker pipeline + the researcher/central-library) vs what must still be
BUILT (pose, trained classifiers, the fine-grained detectors). Evidence-backed + LIAR-KILLED: a HAVE/PARTIAL
must OPEN the real organ it cites (vc_have) or it downgrades to a logged LIE-GAP -- coverage cannot be faked by
symbol-presence. permille = (have*1000 + partial*500)/total. A LOW number is HONEST: it is the roadmap.
license_tier: ORIGINAL expect_exit: 0
dependencies 1 imports · 0 importers
imports: nx_gate.nx
imported by: nobody (leaf or entry point)
call flow from main pre-order; caps 40 nodes / depth 6 declared; ↻ = already shown
structs
| none |
consts
| none |
functions
| 11 | func vc_have(path: *u8) -> i64 { let fd: i64 = sys_openat_rd(path); if fd < 0 { return 0 } sys_close(fd); return 1 } called by 1: vc_row |
| 13 | func vc_row(kind: i64, label: *u8, path: *u8, note: *u8, c: *i64) -> i64 |
| 28 | func main() -> i64 |