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2020-10-12math/blas, math/lapack: Install interchangeable BLAS systembacon1-1/+2
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
2020-04-27py-patsy: use py-numpy/buildink to auto-select based on Python versionadam1-2/+2
2018-11-20py-patsy: updated to 0.5.1adam2-10/+9
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.
2018-01-17py-patsy: updated 0.5.0adam2-9/+8
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
2016-07-15Import py-patsy-0.4.1 as math/py-patsy.wiz4-0/+129
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.