[ANN] Bottleneck 1.3.0 rc1 released

[Christopher Whelan]

Bottleneck 1.3.0rc1 is now on PyPI with a final release available next week, assuming no significant issues. If you do encounter any issues, please report them here: https://github.com/pydata/bottleneck

The release notes can be found below or at https://bottleneck.readthedocs.io/en/latest/release.html

Thanks,

Chris

Project Updates

• Bottleneck has a new maintainer, Christopher Whelan (@qwhelan on GitHub).

• Documentation now hosted at https://bottleneck.readthedocs.io

• 1.3.x will be the last release to support Python 2.7

• Bottleneck now supports and is tested against Python 3.7. (#211)

• It is believed to work on Python 3.8 but our testing infrastructure does not yet support 3.8.

• The LICENSE file has been restructured to only include the license for the Bottleneck project to aid license audit tools. There has been no change to the licensing of Bottleneck.

  • Licenses for other projects incorporated by Bottleneck are now reproduced in full in separate files in the LICENSES/ directory (eg, LICENSES/NUMPY_LICENSE)

  • All licenses have been updated. Notably, setuptools is now MIT licensed and no longer under the ambiguous dual PSF/Zope license.

• Bottleneck now uses PEP 518 for specifying build dependencies, with per Python version specifications (#247)

Enhancements

• Remove numpydoc package from Bottleneck source distribution

• bottleneck.slow.reduce.nansum() and bottleneck.slow.reduce.ss() now longer coerce output to have the same dtype as input

• Test (tox, travis, appveyor) against latest numpy (in conda)

• Performance benchmarking also available via asv

• versioneer now used for versioning (#213)

• Test suite now uses pytest as nose is deprecated (#222)

• python setup.py build_ext --inplace is now incremental (#224)

• python setup.py clean now cleans all artifacts (#226)

• Compiler feature support now identified by testing rather than hardcoding (#227)

• The BN_OPT_3 macro allows selective use of -O3 at the function level (#223)

• Contributors are now automatically cited in the release notes (#244)

Performance

• Speed up bottleneck.reduce.anynan() and bottleneck.reduce.allnan() by 2x via BN_OPT_3 (#223)

• All functions covered by asv benchmarks

• bottleneck.nonreduce.replace() speedup of 4x via more explicit typing (#239)

• bottleneck.reduce.median() up to 2x faster for Fortran-ordered arrays (#248)

Bug Fixes

• Documentation fails to build on Python 3 (#170)

• bottleneck.benchmark.bench() crashes on python 3.6.3, numpy 1.13.3 (#175)

• bottleneck.nonreduce_axis.push() raises when n=None is explicitly passed (#178)

• bottleneck.reduce.nansum() wrong output when a = np.ones((2, 2))[..., np.newaxis] same issue of other reduce functions (#183)

• Silenced FutureWarning from NumPy in the slow version of move functions (#194)

• Installing bottleneck onto a system that does not already have Numpy (#195)

• Memory leaked when input was not a NumPy array (#201)

• Tautological comparison in bottleneck.move.move_rank() removed (#207, #212)

Cleanup

• The ez_setup.py module is no longer packaged (#211)

• Building documentation is now self-contained in make doc (#214)

• Codebase now flake8 compliant and run on every commit

• Codebase now uses black for autoformatting (#253)

Contributors

A total of 8 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.

• Ales Erjavec +
• Christopher Whelan +
• Daniel Hakimi +
• Ghislain Antony Vaillant +
• Keith Goodman
• Stephan Hoyer
• Thomas Robitaille +
• kwgoodman

[Christopher Whelan]

1.3.0rc2 has just been uploaded to PyPI and resolves a cross-platform packaging bug and adds explicit support for Python 3.8. If you do encounter any issues, please report them here: https://github.com/pydata/bottleneck

Thanks,

Chris