From 3c3194430c178b38c98c74ee81aa79d66180091d Mon Sep 17 00:00:00 2001 From: "B. Watson" Date: Tue, 13 Oct 2020 00:37:01 -0400 Subject: development/numpy-legacy3: Fix README. Signed-off-by: B. Watson Signed-off-by: Willy Sudiarto Raharjo --- development/numpy-legacy3/README | 29 +++++++++++++++-------------- 1 file changed, 15 insertions(+), 14 deletions(-) (limited to 'development/numpy-legacy3') diff --git a/development/numpy-legacy3/README b/development/numpy-legacy3/README index 345660ee8e46..c13af7d0396e 100644 --- a/development/numpy-legacy3/README +++ b/development/numpy-legacy3/README @@ -9,27 +9,28 @@ 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. -NOTE: If you use this SlackBuild numpy will run with the python 3 version - installed on your system. If you'd like to use python 2.7.xx as - provided by Slackware Linux then you have to install it with the - numpy-legacy SlackBuild. +NOTE: If you use this SlackBuild numpy will run with the python 3 + version installed on your system. If you'd like to use python + 2.7.xx as provided by Slackware Linux then you have to install + it with the numpy-legacy SlackBuild. IMPORTANT: This version, 1.8.2, is the latest to include the oldnumeric and numarray compatibility modules. Starting with version -- cgit v1.2.3