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nx_gmmlu_research_fetch.nx
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nx_gmmlu_research_fetch.nx -- F786 rung-1: ingest the PUBLIC Global-MMLU-Lite benchmark (a LITERAL row
on the model card, b16) so the reasoning/chat battery is scored on REAL public data, never on questions
I invented (self-authored questions = a self-quiz, not a benchmark -- scale law, no toys).
Fetches the dataset contract + rows pages over own TLS-1.3 to knowledge/fetched/gmmlu_*.raw.
Named *research_fetch* so nx_job_run's family gate can launch it ASYNC (pages exceed the 64KB MCP
envelope and the whole run exceeds the 15s edge window). ff_putn writes its digits (seq206 class fixed).
expect_exit: 0 license_tier: ORIGINAL No hw writes (Rule 26).
dependencies 4 imports · 0 importers
imports: nx_syscalls.nxnx_x509_trust_store.nxnx_trust_store_load_from_certdata.nxnx_https_fetch_follow.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
| 13 | const GM_CAP: i64 = 8388608 |
| 14 | const GM_ROOTS_MAX: i64 = 512 |
| 15 | const GM_CERTBUF: i64 = 4194304 |
| 16 | const GM_HOPS: i64 = 6 |
| 17 | const GM_MODE: i64 = 0x1a4 |
| 18 | const GM_D0: i64 = 48 |
| 19 | const GM_B10: i64 = 10 |
| 20 | const GM_NUMB: i64 = 24 |
functions
| 22 | func ff_puts(s: *u8) -> i64 { var n: i64 = 0; while s[n] != (0 as u8) { n = n + 1 } sys_write(1, s, n); return 0 } |
| 23 | func ff_putn(v: i64) -> i64 |
| 36 | func have_file(path: *u8) -> i64 |
| 42 | func fetch_save(url: *u8, opath: *u8, store: *TrustStore, out: *u8, cap: i64) -> i64 |
| 59 | func main() -> i64 |