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Automatic parity-cache refresh from the R source of truth.
R repository: OVVO-Financial/NNS
R commit: 7b07a837c130ba7220dbe16c584221508757d5ae
NNS version: 14.0
Source package: NNS_14.0.tar.gz
Windows binary verified: NNS_14.0.zip
Live regeneration result: failure
Cache-only verification result: failure
The exact R source package was installed and the committed parity cache was regenerated. sync/nns_source.json records this R commit as the behavioral-truth provenance. Any remaining Python/R parity mismatches are retained in the workflow diagnostics and should be repaired against this R-authored baseline.
R 14.0 cache audit (2026-11-06): This generated reference snapshot is valuable, but do not merge it into main as parity-green. The generation workflow overall concluded success only because its two test phases are continue-on-error; PR metadata explicitly reports Live regeneration result: failure and Cache-only verification result: failure. On the cache-only matrix, Python 3.11 reported 461 failed, 1,279 passed, 12 skipped; live-R generation had 466 failed, 1,283 passed, 3 skipped. The cache-diff table also shows 24 dropped oracle entries (18 NNS.reg, 4 NNS.stack.numeric, 1 NNS.CDF.custom, 1 NNS.VAR.custom). We staged all 59 regenerated shards, while retaining the accepted newer Python parity helper and NNS-core provenance, on top of the cumulative 41-PR implementation stack in draft PR #191: #191 . That is the correct target for reconciliation and a fresh all-entry live-R rebuild. Make the final regen-workflow step fail when either steps.regenerate.outcome or steps.verify.outcome is not success, while preserving diagnostics and the generated PR for investigation.
Dependency notice: This was the initial R14 cache PR targeting main; do not merge it separately. Main does not yet contain the 41 stacked Python port PRs, so a cache-only merge would introduce a red parity baseline. The complete source-preserving cache (2,745 entries / 78 shards) and port code now coexist in draft #192 atop #191 / #189. This PR remains open as the provenance record; no work is being deleted or silently closed.
Superseded by the complete NNS R 14.0 integration in #192, merged as bd19c3303222af46da79d8c97f258248eb5674d2. This initial cache-only PR was NOT merged unchanged. Its snapshot is preserved at archive/r14/pr-190-20261107 (bdd4708246e73fb4d3816be516928964f26aa3f2). The complete source-authored cache and aligned Python implementations landed together after the full Python 3.11-3.14 GitHub matrix passed.
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Automatic parity-cache refresh from the R source of truth.
OVVO-Financial/NNS7b07a837c130ba7220dbe16c584221508757d5ae14.0NNS_14.0.tar.gzNNS_14.0.zipfailurefailureThe exact R source package was installed and the committed parity cache was regenerated.
sync/nns_source.jsonrecords this R commit as the behavioral-truth provenance. Any remaining Python/R parity mismatches are retained in the workflow diagnostics and should be repaired against this R-authored baseline.Cache changes by function
Co.UPM_nDLPM.VaRLPMNNS.ANOVA.customNNS.ARMANNS.ARMA.optim.customNNS.ARMA.pred_intNNS.CDF.customNNS.M.regNNS.MC.stat_summaryNNS.SD.cluster.dendrogramNNS.SD.clusterNNS.VAR.customNNS.VARNNS.boost.factor_predictorNNS.boost.multi_factor_predictor.positional.v1NNS.boost.numericNNS.causNNS.copulaNNS.depNNS.diff.customNNS.distance.bulk.customNNS.distanceNNS.gravityNNS.meboot.stat_summaryNNS.modeNNS.momentsNNS.normNNS.partNNS.reg.factor_dimredNNS.reg.factor_predictor.v2NNS.regNNS.seasNNS.stack.factor_predictor.v2NNS.stack.mixed_factor_predictor.v1NNS.stack.numericUPM.VaRUPMdy.d.scalardy.dx.numericdy.dx.overall