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
v0.5.1
* The Python 3.6.7 and 3.7.1 point releases changed the standard
tokenizer module in a way that broke patsy. Updated patsy to work
with these point releases.
v0.5.0:
* Dropped support for Python 2.6 and 3.3.
* Update to keep up with pandas API changes
* More consistent handling of degenerate linear constraints in
:meth:DesignInfo.linear_constraint
* Fix a crash in DesignMatrix.__repr__ when shape[0] == 0
Packaged for wip by Kamel Ibn Aziz Derouiche and myself.
A Python package for describing statistical models and for
Patsy is a Python library for describing statistical models
(especially linear models, or models that have a linear component)
and building design matrices. Patsy brings the convenience of R
formulas to Python.
