Commit graph

20 commits

Author SHA1 Message Date
nia
414fc7869d math: Replace RMD160 checksums with BLAKE2s checksums
All checksums have been double-checked against existing RMD160 and
SHA512 hashes
2021-10-26 10:55:21 +00:00
nia
3c576fbd23 math: Remove SHA1 hashes for distfiles 2021-10-07 14:27:43 +00:00
rillig
4760eca917 Replaced $(ROUND) with ${CURLY} variable references.
This has been a pkglint warning for several years now, and pkglint can even
fix it automatically. And it did for this commit.

Only in lang/mercury, two passes of autofixing were necessary because there
were nested variables.
2018-01-01 18:16:35 +00:00
agc
286ea2536c Add SHA512 digests for distfiles for math category
Problems found locating distfiles:
	Package dfftpack: missing distfile dfftpack-20001209.tar.gz
	Package eispack: missing distfile eispack-20001130.tar.gz
	Package fftpack: missing distfile fftpack-20001130.tar.gz
	Package linpack: missing distfile linpack-20010510.tar.gz
	Package minpack: missing distfile minpack-20001130.tar.gz
	Package odepack: missing distfile odepack-20001130.tar.gz
	Package py-networkx: missing distfile networkx-1.10.tar.gz
	Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
	Package quadpack: missing distfile quadpack-20001130.tar.gz

Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden).  All existing
SHA1 digests retained for now as an audit trail.
2015-11-03 23:33:26 +00:00
rodent
b65af7be2b Remove "Trailing empty lines." and/or "Trailing white-space." 2013-04-08 11:17:08 +00:00
asau
1fba5e7d3b Update to MTL 2.1.2-22
Add test target.

Changes in MTL 2.1.2-22

Adaptations to the stricter syntax requirements in new compilers like GCC 4.0.
2012-09-13 18:13:50 +00:00
asau
b63c74fdfd "user-destdir" is default these days 2012-09-11 23:04:15 +00:00
joerg
c167fec2c2 DESTDIR support 2010-02-04 14:51:44 +00:00
joerg
62d1ba2bac Remove @dirrm entries from PLISTs 2009-06-14 18:03:28 +00:00
wiz
a8686fc0e5 Add CONFLICTS line for previous PKGNAME versions.
Suggested by Alan Barrett.
2008-03-10 10:33:38 +00:00
wiz
7e5ec4260e Fix version number by adding a PKGNAME. 2008-03-04 12:17:47 +00:00
joerg
e19baeb3ba Uses C and C++. 2006-07-11 00:19:20 +00:00
jlam
9c8b5ede43 Point MAINTAINER to pkgsrc-users@NetBSD.org in the case where no
developer is officially maintaining the package.

The rationale for changing this from "tech-pkg" to "pkgsrc-users" is
that it implies that any user can try to maintain the package (by
submitting patches to the mailing list).  Since the folks most likely
to care about the package are the folks that want to use it or are
already using it, this would leverage the energy of users who aren't
developers.
2006-03-04 21:28:51 +00:00
tv
f816d81489 Remove USE_BUILDLINK3 and NO_BUILDLINK; these are no longer used. 2005-04-11 21:44:48 +00:00
agc
1e46c076aa Add RMD160 digests in addition to SHA1 ones. 2005-02-23 12:06:53 +00:00
snj
fad79df5ee Convert to buildlink3. 2004-04-24 04:47:04 +00:00
grant
0155927c43 s/netbsd.org/NetBSD.org/ 2003-07-17 21:41:05 +00:00
jschauma
e366d0c694 Use tech-pkg@ in favor of packages@ as MAINTAINER for orphaned packages.
Should anybody feel like they could be the maintainer for any of thewe packages,
please adjust.
2003-06-02 01:15:31 +00:00
jtb
b85f2370dc Add terminating newline. 2003-04-30 00:11:38 +00:00
jtb
a2a9a6842a Initial import of mtl.
The Matrix Template Library is a C++ class library for basic linear
algebra. The MTL is designed for high-performance while at the same
time taking advantage of the generic programming paradigm (ala the
STL) to allow much greater flexibility and breadth of
functionality. Many new and advanced programming techniques were used
in the construction of this library.

The MTL is a low level library in the sense that the user must be
conscious of the matrix type being used, and that all computationally
expensive operations are explicit. The MTL is not a C++
Matlab. Nevertheless, the interface is designed to be simple and easy
to use.

The matrix types provided include compressed sparse row/column,
banded, packed, diagonal (and tridiagonal), envelope, array of
pointers, and of course dense matrices. All matrix types share a
common and easy to use interface.

The algorithms consist of the traditional basic linear algebra
routines (from the BLAS level-1 to 3) which includes matrix and vector
arithmetic as well as operations such as backward substitution and
norm calculations.
2003-04-29 23:52:25 +00:00