development/numpy: Fix README.

Signed-off-by: B. Watson <yalhcru@gmail.com>

Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>

1 files changed, 29 insertions, 27 deletions

diff --git a/development/numpy/README b/development/numpy/README
index 194190812c..4c367a1508 100644
--- a/development/numpy/README
+++ b/development/numpy/README
@@ -1,39 +1,41 @@
-NumPy is a general-purpose array-processing package designed to efficiently
-manipulate large multi-dimensional arrays of arbitrary records without
-sacrificing too much speed for small multi-dimensional arrays.  NumPy is built
-on the Numeric code base and adds features introduced by numarray as well as an
-extended C-API and the ability to create arrays of arbitrary type which also
-makes NumPy suitable for interfacing with general-purpose data-base
-applications.
+NumPy is a general-purpose array-processing package designed to
+efficiently manipulate large multi-dimensional arrays of arbitrary
+records without sacrificing too much speed for small multi-dimensional
+arrays.  NumPy is built on the Numeric code base and adds features
+introduced by numarray as well as an extended C-API and the ability
+to create arrays of arbitrary type which also makes NumPy suitable for
+interfacing with general-purpose data-base applications.
 
-There are also basic facilities for discrete fourier transform, basic linear
-algebra and random number generation.
+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.
+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.
 
 NOTE: If you use this SlackBuild, numpy will run with the python version
-      provided by Slackware Linux, which is presently 2.7.xx. If you'd like to
-      use python 3.x then you have to install the numpy3 SlackBuild.
+      provided by Slackware Linux, which is presently 2.7.xx. If
+      you'd like to use python 3.x then you have to install the numpy3
+      SlackBuild.
 
 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!