From ebab4beb10a5f1a21d510093b614eb5016362783 Mon Sep 17 00:00:00 2001 From: "B. Watson" Date: Tue, 13 Oct 2020 00:47:30 -0400 Subject: [PATCH] development/numpy3: Fix README. Signed-off-by: B. Watson Signed-off-by: Willy Sudiarto Raharjo --- development/numpy3/README | 33 +++++++++++++++++---------------- 1 file changed, 17 insertions(+), 16 deletions(-) diff --git a/development/numpy3/README b/development/numpy3/README index 6e1aebbb83..539b941b3b 100644 --- a/development/numpy3/README +++ b/development/numpy3/README @@ -9,30 +9,31 @@ interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. -If you need to build numpy for debugging, set DEBUG=y. If you use software -which is having problems with numpy's new relaxed strides checking, set -NPY_RSC=0. +If you need to build numpy for debugging, set DEBUG=y. If you use +software which is having problems with numpy's new relaxed strides +checking, set NPY_RSC=0. -It is highly recommended to install libraries implementing BLAS and LAPACK -before installing numpy. You may choose between: +It is highly recommended to install libraries implementing BLAS and +LAPACK before installing numpy. You may choose between: a) BLAS and LAPACK (reference but unoptimized and thus slow) b) OpenBLAS (optimized, provides LAPACK too) c) ATLAS and LAPACK (optimized), good to read README.ATLAS All these are available on SlackBuilds.org. -If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric -sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no" -and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an -optional dependency for numpy. Nevertheless, note that presently scikit-umfpack -is not available on SlackBuilds.org while its dependencies are. +If you want to use the UMFPACK library instead of SuperLU to solve +unsymmetric sparse linear systems, then run this Slackbuild with +NO_UMFPACK set to "no" and then install scikit-umfpack on top of +scipy. In this context, UMFPACK is an optional dependency for +numpy. Nevertheless, note that presently scikit-umfpack is not +available on SlackBuilds.org while its dependencies are. IMPORTANT: The version installed by this SlackBuild does NOT include the - oldnumeric and numarray compatibility modules since starting with - version 1.9.0 these modules got removed by the numpy developers. - If you need these compatibility modules please consider the - numpy-legacy SlackBuild. - THUS: This SlackBuild conflicts with the numpy-legacy SlackBuild - which installs versions < 1.9.0! + oldnumeric and numarray compatibility modules since + starting with version 1.9.0 these modules got removed by + the numpy developers. If you need these compatibility + modules please consider the numpy-legacy SlackBuild. + THUS: This SlackBuild conflicts with the numpy-legacy + SlackBuild which installs versions < 1.9.0! This numpy3 SlackBuild creates bindings for python3 and can be installed without conflict alongside the standard numpy SlackBuild.