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Context
Audit finding (2026-07-04 deep audit, see epic). Beyond the doctor cluster (separate subtask), the j2py package root
accumulates single-purpose modules with mixed audiences: report.py (659 — HTML ...
audit
P3
polish
tomanizer
Your current environment
details summary The output of code python collect_env.py /code /summary
CI env
/details
Your code version
details summary The commit id or version of vllm /summary
v0.24.0 ...
bug
ci-failure
high priority
Gaohan123
Context
Audit finding (2026-07-04 deep audit, see epic). Since the 0.8.1 release (2026-06-29) there are 47 commits on main
including user-visible features and fixes (e.g. #773 doctor triage reporting, ...
audit
documentation
P2
Context
Audit finding (2026-07-04 deep audit, see epic). The test pyramid is strong on known constructs (3,451 tests: fixtures,
equivalence oracle at 78.9% verified surface, corpus baselines) but has ...
audit
P1
test
Context
Audit finding (2026-07-04 deep audit, see epic). In incremental directory translation, skipped (unchanged) files
reconstruct their TranslationResult from the previous state file. At j2py/pipeline.py:660-668: ...
audit
bug
P1
Describe the bug
I have a system with 352 tags, which are nested a lot.
using tree view, everything works fine. as soon as i use facet view, the browser gets unusable when clicking a first
tag, and then ...
bug
vmario89
Summary
POST /workspaces/{id}/restart (the klangkc restart name command) only does the stop half of a restart — it stops and
removes the container and resets state, but never starts a fresh one. For ...
mcdonc
Context
Audit finding (2026-07-04 deep audit, see epic). Output validation (j2py/validate/checks.py) shells out to ruff + mypy.
Measured cost (0.8.1 baseline): ~0.35s fixed subprocess startup per single-file ...
audit
enhancement
P2
Context
Audit finding (2026-07-04 deep audit, see epic). Performance evidence is currently hand-run and doc-recorded:
- docs/releases/0.8.1/PERFORMANCE_BASELINE.md explicitly reuses the 0.7.0 numbers ...
audit
P2
test
User story
As a regression modeler, I want the three signatures of misspecification quantified in nats — non-Gaussian residuals
J(ε), missed structure I(ε; X_j) per feature, heteroskedasticity I(ε²; X) ...
enhancement
sklearn
jejjohnson
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Learn how you can use GitHub Issues to plan and track your work.
Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub IssuesProTip! Restrict your search to the title by using the in:title qualifier.