Log message:
Forget about Python 3.6

Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Log message:
math: Remove SHA1 hashes for distfiles

Log message:
py-numpy: "Python version >= 3.7 required."

Log message:
math/blas, math/lapack: Install interchangeable BLAS system

Install the new interchangeable BLAS system created by Thomas Orgis,
currently supporting Netlib BLAS/LAPACK, OpenBLAS, cblas, lapacke, and
Apple's Accelerate.framework.  This system allows the user to select any
BLAS implementation without modifying packages or using package options, by
setting PKGSRC_BLAS_TYPES in mk.conf. See mk/blas.buildlink3.mk for details.

This commit should not alter behavior of existing packages as the system
defaults to Netlib BLAS/LAPACK, which until now has been the only supported
implementation.

Details:

Add new mk/blas.buildlink3.mk for inclusion in dependent packages
Install compatible Netlib math/blas and math/lapack packages
Update math/blas and math/lapack MAINTAINER approved by adam@
OpenBLAS, cblas, and lapacke will follow in separate commits
Update direct dependents to use mk/blas.buildlink3.mk
Perform recursive revbump

Log message:
py-bottleneck: updated to 1.3.2

Bottleneck 1.3.2

Bug Fixes
- Explicitly declare numpy version dependency in ``pyproject.toml`` for Python \ 
3.8, fixing
  certain cases where ``pip install`` would fail.
  and ``@0xb0b`` for reporting.

Bottleneck 1.3.1

Bug Fixes
- Fix memory leak in :func:`bottleneck.nanmedian` with the default argument of \ 
``axis=None``.
- Add regression test for memory leak case

Bottleneck 1.3.0

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 and 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

Enhancements
- Remove ``numpydoc`` package from Bottleneck source distribution
- :func:`bottleneck.slow.reduce.nansum` and :func:`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
- Test suite now uses ``pytest`` as ``nose`` is deprecated
- ``python setup.py build_ext --inplace`` is now incremental
- ``python setup.py clean`` now cleans all artifacts
- Compiler feature support now identified by testing rather than hardcoding
- The ``BN_OPT_3`` macro allows selective use of ``-O3`` at the function level
- Contributors are now automatically cited in the release notes

Performance
- Speed up :func:`bottleneck.reduce.anynan` and :func:`bottleneck.reduce.allnan` \ 
by 2x via ``BN_OPT_3``
- All functions covered by ``asv`` benchmarks
- :func:`bottleneck.nonreduce.replace` speedup of 4x via more explicit typing
- :func:`bottleneck.reduce.median` up to 2x faster for Fortran-ordered arrays

Bug Fixes
- Documentation fails to build on Python 3
- :func:`bottleneck.benchmark.bench` crashes on python 3.6.3, numpy 1.13.3
- :func:`bottleneck.nonreduce_axis.push` raises when :code:`n=None` is \ 
explicitly passed
- :func:`bottleneck.reduce.nansum` wrong output when :code:`a = np.ones((2, \ 
2))[..., np.newaxis]`
  same issue of other reduce functions
- Silenced FutureWarning from NumPy in the slow version of move functions
- Installing bottleneck onto a system that does not already have Numpy
- Memory leaked when input was not a NumPy array
- Tautological comparison in :func:`bottleneck.move.move_rank` removed

Cleanup
- The ``ez_setup.py`` module is no longer packaged
- Building documentation is now self-contained in ``make doc``
- Codebase now ``flake8`` compliant and run on every commit
- Codebase now uses ``black`` for autoformatting

Log message:
math: align variable assignments

pkglint -Wall -F --only aligned -r

Manual correction in R/Makefile.extension for the MASTER_SITES
continuation line.

Log message:
Bottleneck is a collection of fast NumPy array functions written in C.