pytorch_tabular
pytorch_tabular copied to clipboard
Update numpy requirement from <2.0,>1.20.0 to >1.20.0,<3.0
Updates the requirements on numpy to permit the latest version.
Release notes
Sourced from numpy's releases.
NumPy 2.0.2 release (Aug 26, 2024)
NumPy 2.0.2 Release Notes
NumPy 2.0.2 is a maintenance release that fixes bugs and regressions discovered after the 2.0.1 release.
The Python versions supported by this release are 3.9-3.12.
Contributors
A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time.
- Bruno Oliveira +
- Charles Harris
- Chris Sidebottom
- Christian Heimes +
- Christopher Sidebottom
- Mateusz Sokół
- Matti Picus
- Nathan Goldbaum
- Pieter Eendebak
- Raghuveer Devulapalli
- Ralf Gommers
- Sebastian Berg
- Yair Chuchem +
Pull requests merged
A total of 19 pull requests were merged for this release.
- #27000: REL: Prepare for the NumPy 2.0.1 release [wheel build]
- #27001: MAINT: prepare 2.0.x for further development
- #27021: BUG: cfuncs.py: fix crash when sys.stderr is not available
- #27022: DOC: Fix migration note for
alltrueandsometrue- #27061: BUG: use proper input and output descriptor in array_assign_subscript...
- #27073: BUG: Mirror VQSORT_ENABLED logic in Quicksort
- #27074: BUG: Bump Highway to latest master
- #27077: BUG: Off by one in memory overlap check
- #27122: BUG: Use the new
npyv_loadable_stride_functions for ldexp and...- #27126: BUG: Bump Highway to latest
- #27128: BUG: add missing error handling in public_dtype_api.c
- #27129: BUG: fix another cast setup in array_assign_subscript
- #27130: BUG: Fix building NumPy in FIPS mode
- #27131: BLD: update vendored Meson for cross-compilation patches
- #27146: MAINT: Scipy openblas 0.3.27.44.4
- #27151: BUG: Do not accidentally store dtype metadata in
np.save- #27195: REV: Revert undef I and document it
- #27213: BUG: Fix NPY_RAVEL_AXIS on backwards compatible NumPy 2 builds
- #27279: BUG: Fix array_equal for numeric and non-numeric scalar types
... (truncated)
Commits
854252dMerge pull request #27280 from charris/prepare-2.0.2cffa071REL: Prepare for the NumPy 2.0.2 release [wheel build]1693029Merge pull request #27279 from charris/backport-27275da9f9c3BUG: Fix array_equal for numeric and non-numeric scalar typesee1cf96Merge pull request #27213 from charris/backport-2720249dec35BUG: Fix NPY_RAVEL_AXIS on backwards compatible NumPy 2 buildsbe56ae2Merge pull request #27195 from charris/backport-2718275b039cREV: Revert undef I and document it428e2baMerge pull request #27151 from charris/backport-27143451516dBUG: Do not accidentally store dtype metadata innp.save- Additional commits viewable in compare view
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot show <dependency name> ignore conditionswill show all of the ignore conditions of the specified dependency@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
📚 Documentation preview 📚: https://pytorch-tabular--581.org.readthedocs.build/en/581/