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History of commit frequency

CVS Commit History:


   2009-09-10 21:03:26 by Thomas Klausner | Files touched by this commit (1)
Log message:
Add a few REPLACE_PYTHON. Bump PKGREVISION.
   2009-07-25 14:08:26 by Mark Davies | Files touched by this commit (3)
Log message:
Update numpy to 1.3.0

This minor includes numerous bug fixes, official python 2.6 support, and
several new features such as generalized ufuncs.
   2009-06-26 21:47:14 by Joerg Sonnenberger | Files touched by this commit (1)
Log message:
Allow Python 2.6 to fix dependencies of a number of other packages.
Seems to build fine.
   2009-06-14 20:05:51 by Joerg Sonnenberger | Files touched by this commit (88)
Log message:
Remove @dirrm entries from PLISTs
   2009-03-20 20:25:55 by Joerg Sonnenberger | Files touched by this commit (1252)
Log message:
Simply and speed up buildlink3.mk files and processing.
This changes the buildlink3.mk files to use an include guard for the
recursive include. The use of BUILDLINK_DEPTH, BUILDLINK_DEPENDS,
BUILDLINK_PACKAGES and BUILDLINK_ORDER is handled by a single new
variable BUILDLINK_TREE. Each buildlink3.mk file adds a pair of
enter/exit marker, which can be used to reconstruct the tree and
to determine first level includes. Avoiding := for large variables
(BUILDLINK_ORDER) speeds up parse time as += has linear complexity.
The include guard reduces system time by avoiding reading files over and
over again. For complex packages this reduces both %user and %sys time to
half of the former time.
   2009-03-20 18:30:14 by Joerg Sonnenberger | Files touched by this commit (42)
Log message:
Include pyversion.mk include the protected part of the buildlink3.mk
files, not over and over again.
   2008-12-19 23:09:55 by Mark Davies | Files touched by this commit (1)
Log message:
user-destdir support.
   2008-12-19 23:04:36 by Mark Davies | Files touched by this commit (7) | Imported package
Log message:
Initial import of py-numpy 1.1.0

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.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.

Pkgsrc issue: if the package build happens to find a fortran it prefers
over the one pkgsrc is using it will try to use it and the wrong thing
will happen.


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