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authorB. Watson <yalhcru@gmail.com>2020-10-13 00:37:01 -0400
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2020-10-17 09:39:28 +0700
commit3c3194430c178b38c98c74ee81aa79d66180091d (patch)
tree102126fdefe70a8199294bc838f8567af6f38f69 /development/numpy-legacy3
parentfc08383c336b42005c7e82333ef163ed7562f5d7 (diff)
downloadslackbuilds-3c3194430c178b38c98c74ee81aa79d66180091d.tar.gz
development/numpy-legacy3: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com> Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'development/numpy-legacy3')
-rw-r--r--development/numpy-legacy3/README29
1 files changed, 15 insertions, 14 deletions
diff --git a/development/numpy-legacy3/README b/development/numpy-legacy3/README
index 345660ee8e..c13af7d039 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