Commit Graph

11 Commits

Author SHA1 Message Date
espie
bc8dc9adb1 new depends 2010-11-19 07:23:05 +00:00
steven
83c4da679d replace MODFORTRAN_WANTG77 with MODFORTRAN_COMPILER 2010-10-23 15:09:57 +00:00
sthen
56e01aaf81 - fix LIB_DEPENDS; math/amd should have been a LIB_DEPENDS here.
the scipy package used to work as umfpack also had math/amd as
LIB_DEPENDS but this was removed from umfpack and py-scipy wasn't
changed to match.

- sync WANTLIB, bump REVISION

broken packages noticed by thib@
2010-09-14 12:07:53 +00:00
fgsch
0915f5b894 Bump revision after python's default change. 2010-08-30 17:11:35 +00:00
steven
cedd0e2bb7 REVISION 2010-07-18 10:50:11 +00:00
naddy
f6c04155f3 bump after fortran move to ports and don't put the compiler into run depends 2010-05-28 15:11:51 +00:00
espie
18fe3c3a29 use fortran module
make sure we pick the amd includes (appear to affect gcc3 also)
2010-05-23 15:51:45 +00:00
espie
816c0235eb a few more rotten eggs 2010-03-01 12:06:02 +00:00
sthen
6e9b2ea6e4 the ARPACK library gets pulled in by the configure scripts if present;
record it as a LIB_DEPENDS and bump PKGNAME.
2009-06-29 10:10:03 +00:00
eric
5bc386b996 Add dependency on math/umfpack to avoid it being accidently detected
at build time. Also fix a build issue. Breakage spotted by naddy@.

ok naddy@
2009-04-05 18:08:34 +00:00
eric
d2387ab07a SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering.  It includes modules for statistics,
optimization, integration, linear algebra, Fourier transforms, signal
and image processing, genetic algorithms, ODE solvers, and more.  It
is also the name of a very popular conference on scientific
programming with Python. 

The SciPy library depends on NumPy, which provides convenient and fast
N-dimensional array manipulation. 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. If you need to manipulate numbers on
a computer and display or publish the results, give SciPy a try! 


ok ajacoutot@
2009-02-16 14:42:37 +00:00