Update datajoint to 2.2.4#68
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dimitri-yatsenko merged 2 commits intoJun 5, 2026
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Bumps the recipe from 2.2.2 directly to 2.2.4. 2.2.3 was released to PyPI earlier today but never landed on conda-forge; this supersedes the autotick bot's pending v2.2.3 PR (conda-forge#67). The 2.2.4 release rolls up the 2.2.3 env-var configuration work (DJ_STORES, DJ_IGNORE_CONFIG_FILE, arbitrary .secrets/stores.<name>.<attr>) plus three follow-up patches: - feat: export StorageAdapter and get_storage_adapter at top level (#1463) - fix: declare packaging as an explicit dependency (#1462) - docs: refresh settings.py version markers (#1461) PyPI sdist sha256 verified: f9206a350257bc2ec864b5544bf1e8cb22e789416ab40d045e27e3d56bdcf27d The recipe's run dependencies already include `packaging`, so the runtime-dep fix from #1462 is a no-op for conda-forge — but it brings the recipe and pyproject.toml back in sync. No build-number reset required (new version).
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Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
…2026.06.05.12.28.1
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Summary
Bumps the recipe from 2.2.2 directly to 2.2.4. 2.2.3 was released to PyPI earlier today but never landed on conda-forge — this PR supersedes the autotick bot's pending #67 (v2.2.3).
The 2.2.4 release on PyPI rolls up the 2.2.3 env-var configuration work plus three small follow-up patches discovered during a docs review:
DJ_STORES,DJ_IGNORE_CONFIG_FILE, arbitrary.secrets/stores.<name>.<attr>(datajoint-python#1452)dj.StorageAdapter+dj.get_storage_adapter()exposed at top level (datajoint-python#1463)packagingdeclared as an explicit dependency (datajoint-python#1462) — fixesimport datajointon clean Python 3.12 venvs that no longer shipsetuptoolsby defaultsettings.pyversion-marker refresh (datajoint-python#1461)GitHub release: https://github.com/datajoint/datajoint-python/releases/tag/v2.2.4
PyPI sdist sha256:
f9206a350257bc2ec864b5544bf1e8cb22e789416ab40d045e27e3d56bdcf27d(verified).Notes
packaging(added in a prior recipe pass), so the runtime-dep fix from #1462 is a no-op for conda-forge — but it brings the upstreampyproject.tomland the recipe back in sync.dj.StorageAdapter/dj.get_storage_adapterexports are tested via the existingimports: - datajointsmoke test plus the CLI entry-point tests.Checklist
pyproject.toml(numpy, pymysql, deepdiff, pyparsing, pandas, tqdm, networkx, pydot, fsspec, pydantic-settings, packaging)@conda-forge-admin, please rerender