Miroirs/SlackBuildsOrg
1
0
Fork 0
mirror of https://github.com/SlackBuildsOrg/slackbuilds synced 2024-09-30 05:39:56 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

academic/scipy: Updated for version 0.9.0.

Browse source 
Signed-off-by: Niels Horn <niels.horn@slackbuilds.org>
This commit is contained in:
Serban Udrea 2011-11-04 18:09:15 -02:00 committed by Niels Horn
parent 48d5e0ae33
commit 83ad715c57
4 changed files with 28 additions and 22 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

23
academic/scipy/README
View file

@ -1,12 +1,17 @@
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering.
The SciPy library is built to work with NumPy arrays, and provides many
user-friendly and efficient numerical routines such as routines for numerical
integration and optimization. Together, they run on all popular operating
systems, are quick to install, and are free of charge. NumPy and SciPy are
easy to use, but powerful enough to be depended upon by some of the world's
leading scientists and engineers.
The SciPy library is built to work with NumPy arrays, and provides many
user-friendly and efficient numerical routines such as routines for
numerical integration and optimization. Together, they run on all popular
operating systems, are quick to install, and are free of charge. NumPy
and SciPy are easy to use, but powerful enough to be depended upon by
some of the world's leading scientists and engineers.
This requires numpy, blas, and lapack. matplotlib and ipython are nice to
have in connection with scipy, but scipy does not depend on them.
This requires numpy, blas, and lapack. Optional dependency: umfpack.
matplotlib and ipython are nice to have in connection with scipy, but
scipy does not depend on them.
NOTE: Presently, if you install umfpack and its dependencies before
scipy, make sure there is a link to /usr/include/amd/amd.h from within
/usr/include/umfpack, otherwise scipy will not build.

3
academic/scipy/scipy.SlackBuild
View file

@ -4,9 +4,10 @@
# Written by Eugene Suter <easuter@gmail.com>
# Updated to 0.7.2 by João Felipe Santos <joao.eel@gmail.com>
# Updated to 0.9.0 by Serban Udrea <S.Udrea@gsi.de>
PRGNAM=scipy
VERSION=${VERSION:-0.7.2}
VERSION=${VERSION:-0.9.0}
BUILD=${BUILD:-1}
TAG=${TAG:-_SBo}

8
academic/scipy/scipy.info
View file

@ -1,10 +1,10 @@
PRGNAM="scipy"
VERSION="0.7.2"
VERSION="0.9.0"
HOMEPAGE="http://www.scipy.org/"
DOWNLOAD="http://downloads.sourceforge.net/scipy/scipy-0.7.2.tar.gz"
MD5SUM="33f883f5ea4227de7097c47d70d5402a"
DOWNLOAD="http://garr.dl.sourceforge.net/project/scipy/scipy/0.9.0/scipy-0.9.0.tar.gz"
MD5SUM="ebfef6e8e82d15c875a4ee6a46d4e1cd"
DOWNLOAD_x86_64=""
MD5SUM_x86_64=""
MAINTAINER="Serban Udrea"
EMAIL="S.Udrea@gsi.de"
APPROVED="rworkman"
APPROVED="rworkman,Niels Horn"

16
academic/scipy/slack-desc
View file

@ -5,15 +5,15 @@
# make exactly 11 lines for the formatting to be correct. It's also
# customary to leave one space after the ':'.
|-----handy-ruler-------------------------------------------------------|
|-----handy-ruler------------------------------------------------------|
scipy: SciPy (python library for math, science, and engineering)
scipy:
scipy: The SciPy library is built to work with NumPy arrays, and provides many
scipy: user-friendly and efficient numerical routines such as routines for numerical
scipy: integration and optimization. Together, they run on all popular operating
scipy: systems, are quick to install, and are free of charge. NumPy and SciPy are
scipy: easy to use, but powerful enough to be depended upon by some of the world's
scipy: leading scientists and engineers.
scipy:
scipy: The SciPy library is built to work with NumPy arrays, and provides
scipy: many user-friendly and efficient numerical routines such as routines
scipy: for numerical integration and optimization. Together, they run on all
scipy: popular operating systems, are quick to install, and are free of
scipy: charge. NumPy and SciPy are easy to use, but powerful enough to be
scipy: depended upon by some of the world's leading scientists and engineers.
scipy:
scipy: http://www.scipy.org/
scipy: