docs: condense AGENTS.md and refresh AUDIT.md to current state - #11
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- AGENTS.md (303 -> 93 lines): a shorter, more general guide. Keeps the load-bearing parts -- the three design pillars, the extension model (subclass + classpath), the do-not-break invariants, and the coding/commit/ agent conventions -- and drops the verbose config-key catalogues, per-subsystem deep-dives, env-var/optional-dep tables, and the end-to-end run trace, which belong in docs/ and examples/. - AUDIT.md (206 -> 64 lines): rewritten to the current state after PR #10. It records concisely what is fixed (modernization #6-#9 + audit follow-up #1, #2, #10, #14-#19, DICOM hardening, os.environ device fix) versus what remains -- the audit does NOT claim everything is resolved: ~9 confirmed bugs are still a clearly-listed backlog (#3 VAE noise, #4 EMA early-stop score, #5 explicit Standardize, #6 Rotate deg->rad, #7 CLI tensorboard, #8 Unsqueeze, #9 ResampleToShape, #12 Select, #13 ITK) plus the deferred cross-cutting refactors.
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Summary
A docs-only refresh, no code changes.
AGENTS.md— condensed (303 → 93 lines)More general and succinct. Keeps the load-bearing parts — the three design pillars, the extension model (subclass + classpath), the do-not-break invariants, and the coding/commit/agent conventions — and drops the verbose config-key catalogues, per-subsystem deep-dives, env-var/optional-dep tables, and the end-to-end run trace (those belong in
docs/andexamples/).AUDIT.md— refreshed to current state (206 → 64 lines)Rewritten to reflect reality after PR #10, as a concise fixed vs remaining record.
os.environdevice-control-flow removal — each with a regression test.rand_likeinstead ofrandn_like, feat: add declarative YAML model builder #4 early-stop/BEST scores the EMA model, docs: add configuration and dataset-architecture guides and audit #5 explicitStandardizecrash, chore: add dev tooling/CI and modernize the core (perf, guards, config, fixes) #6Rotatedeg→rad, feat: add OME-Zarr (ngff-zarr) and DICOM dataset backends #7 CLI--tensorboarddropped for predict/eval, feat: add declarative YAML model builder #8Unsqueezeon a tensor, docs: add configuration/dataset guides and audit report #9ResampleToShapeconfig aliasing, refactor: dead-code removal and perf/elegance fixes across the core #12Selectsqueeze-by-index, feat: add ONNX model export #13ITKdouble-append — plus the deferred cross-cutting refactors (typedAttribute, perceptual-loss dedup).These remaining items are small, well-scoped, test-backable fixes — a natural next bug-fix PR.