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History of commit frequency

CVS Commit History:


   2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458)
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes
   2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458)
Log message:
math: Remove SHA1 hashes for distfiles
   2015-11-04 00:33:46 by Alistair G. Crooks | Files touched by this commit (262)
Log message:
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.
   2015-03-15 18:25:56 by Hiramatsu Yoshifumi | Files touched by this commit (11)
Log message:
Set MAINTAINER to pkgsrc-users.
   2012-09-12 01:04:36 by Aleksej Saushev | Files touched by this commit (180)
Log message:
"user-destdir" is default these days
   2012-03-01 06:01:15 by OBATA Akio | Files touched by this commit (2)
Log message:
 Honor CFLAGS/CXXFLAGS and avoid to override the optimizer levels.
   2012-03-01 05:49:51 by OBATA Akio | Files touched by this commit (2)
Log message:
Add comment.
   2011-09-14 19:12:18 by Hans Rosenfeld | Files touched by this commit (2)
Log message:
Remove stupid test for Sun make from configure.
   2010-05-19 13:47:15 by OBATA Akio | Files touched by this commit (6) | Imported package
Log message:
Import TinySVM-0.09 as math/TinySVM.

TinySVM is an implementation of Support Vector Machines (SVMs) [Vapnik 95],
[Vapnik 98] for the problem of pattern recognition. Support Vector Machines is a
new generation learning algorithms based on recent advances in statistical
learning theory, and applied to large number of real-world applications, such as
text categorization, hand-written character recognition.

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