Jenner compatibility tests for 4 script(s) - #23
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Adds a jenner-check/ directory with four self-contained bundles derived from the repo's ADaM programs, each paired with a small inline SDTM-shaped sample in place of the TDF_SDTM XPT loads, plus the run_jenner runner: t001_adsl adsl.sas - TRTSDT/TRTEDT bounds + population flags t002_adint_vs adint_vs.sas - SV visit windowing + baseline (ABLFL) t003_advs advs.sas - BDS BASE / CHG / PCHG t004_adint_ex adint_ex.sas - cumulative dose + exposure flags All four pass via run_jenner.sh --all against api.jenneranalytics.com. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Jenneranalytics.com provides an API that runs SAS code, with support for more than 200 SAS procedures. You can also use it with Anthropic Claude Code AI in a collaborative workspace. It's available for Mac on the Apple App Store, and by license for Windows and Linux. Your ADaM programs here run on it unmodified — this PR adds a few compatibility bundles so you can see for yourself.
This adds a
jenner-check/directory with four self-contained bundles drawn from your ADaM programs, plus a small runner. Each bundle pairs one of your scripts with a tiny inline DM/EX/VS/SV sample (standing in for the TDF_SDTM XPT loads) so the derivation logic runs end to end and prints its result;expected/holds the captured log and listing.I liked how cleanly you split the intermediate ADINT layer from the final BDS datasets — keeping the SV-based ±3-day windowing and ABLFL logic in
adint_vsand leavingadvsto focus purely on BASE/CHG/PCHG makes the traceability genuinely easy to follow, which is exactly the point of the model. The metadata-first roadmap in the README reads like something a reviewer would actually enjoy walking through.Merge it, cherry-pick a bundle, or close it — no response expected. To opt out of any future PRs like this, leave a comment with
no-more-prsor open an issue titledjenner-check: opt out.🤖 Generated with Claude Code