scientific-python/pytest-doctestplus: v1.3.0
Bibliographic record
Abstract
What's Changed ci: add testing for pytest~=8.1 by @Borda in https://github.com/scientific-python/pytest-doctestplus/pull/245 TST: add tests for ufuncs without docstrings, wrapped or not by @lpsinger in https://github.com/scientific-python/pytest-doctestplus/pull/248 Update skips for broken test by @lpsinger in https://github.com/scientific-python/pytest-doctestplus/pull/249 CI: use available osx image for old python by @bsipocz in https://github.com/scientific-python/pytest-doctestplus/pull/250 CI: adding pytest 82 by @bsipocz in https://github.com/scientific-python/pytest-doctestplus/pull/251 BUG: Fix multiline code in generate/update diff by @seberg in https://github.com/scientific-python/pytest-doctestplus/pull/253 MAINT: Remove accidental debug print from new tests by @seberg in https://github.com/scientific-python/pytest-doctestplus/pull/254 DEP: refactored out runtime dependency on setuptools by @neutrinoceros in https://github.com/scientific-python/pytest-doctestplus/pull/258 CI: use hashes for actions' versions by @bsipocz in https://github.com/scientific-python/pytest-doctestplus/pull/259 MAINT: adding python3.13 to CI and fix any incompatibilities by @bsipocz in https://github.com/scientific-python/pytest-doctestplus/pull/260 Bump the actions group in /.github/workflows with 2 updates by @dependabot in https://github.com/scientific-python/pytest-doctestplus/pull/261 Bump pypa/gh-action-pypi-publish from 1.10.0 to 1.10.1 in /.github/workflows in the actions group by @dependabot in https://github.com/scientific-python/pytest-doctestplus/pull/262 MAINT: No need for weekly dependabot by @bsipocz in https://github.com/scientific-python/pytest-doctestplus/pull/263 TST: add one more python release to xfail list by @bsipocz in https://github.com/scientific-python/pytest-doctestplus/pull/266 MNT: Use hash for Action workflow versions and update if needed by @pllim in https://github.com/scientific-python/pytest-doctestplus/pull/267 CI: macos-12 is deprecated by @bsipocz in https://github.com/scientific-python/pytest-doctestplus/pull/268 Bump the actions group in /.github/workflows with 3 updates by @dependabot in https://github.com/scientific-python/pytest-doctestplus/pull/269 Don't assume config exists. by @Carreau in https://github.com/scientific-python/pytest-doctestplus/pull/271 New Contributors @Borda made their first contribution in https://github.com/scientific-python/pytest-doctestplus/pull/245 @neutrinoceros made their first contribution in https://github.com/scientific-python/pytest-doctestplus/pull/258 @dependabot made their first contribution in https://github.com/scientific-python/pytest-doctestplus/pull/261 @Carreau made their first contribution in https://github.com/scientific-python/pytest-doctestplus/pull/271 Full Changelog: https://github.com/scientific-python/pytest-doctestplus/compare/v1.2.1...v1.3.0
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.009 | 0.007 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.365 | 0.433 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".