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authorB. Watson <yalhcru@gmail.com>2020-10-13 00:47:30 -0400
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2020-10-17 09:39:28 +0700
commitebab4beb10a5f1a21d510093b614eb5016362783 (patch)
tree48c8e2ebd6f9922c0f9759d80f309b2c554eed1c /development/numpy3
parent8f71e0e0b1aeee5e2f4456103be5be08373d10b5 (diff)
development/numpy3: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com> Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'development/numpy3')
-rw-r--r--development/numpy3/README33
1 files changed, 17 insertions, 16 deletions
diff --git a/development/numpy3/README b/development/numpy3/README
index 6e1aebbb8376..539b941b3b73 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.