pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2010-01-30	Added LICENSE information.	heinz	1	-1/+2

2010-01-27	update to 1.4.0	drochner	3	-22/+102
	changes: - Faster import time - Extended array wrapping mechanism for ufuncs - New Neighborhood iterator (C-level only) - C99-like complex functions in npymath, and a lot of portability fixes for basic floating point math functions
2009-12-04	Fix so works again with non-default values of PKGSRC_FORTRAN.	markd	1	-3/+7

2009-12-03	Follow f2c/libf2c split: bump revision of all packages	asau	1	-2/+2
	that list Fortran in used languages.
2009-10-24	Avoid picking up other fortran compilers when they are installed.	ahoka	1	-1/+8
	Fixes build when lang/g95 is present on the system.
2009-09-10	Add a few REPLACE_PYTHON. Bump PKGREVISION.	wiz	1	-1/+9

2009-07-25	Update numpy to 1.3.0	markd	3	-274/+184
	This minor includes numerous bug fixes, official python 2.6 support, and several new features such as generalized ufuncs.
2009-06-26	Allow Python 2.6 to fix dependencies of a number of other packages.	joerg	1	-2/+1
	Seems to build fine.
2009-06-14	Remove @dirrm entries from PLISTs	joerg	1	-58/+1

2009-03-20	Simply and speed up buildlink3.mk files and processing.	joerg	1	-13/+6
	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	Include pyversion.mk include the protected part of the buildlink3.mk	joerg	1	-3/+3
	files, not over and over again.
2008-12-19	user-destdir support.	markd	1	-1/+3

2008-12-19	Initial import of py-numpy 1.1.0	markd	7	-0/+1074
	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.