pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2008-12-09	Use MASTER_SITE_SOURCEFORGE in MASTER_SITES and it fixes my download problem.	taca	1	-2/+2

2008-12-09	Update to 1.2:	wiz	3	-7/+11
	-Improved support for unicode in filenames and directories. -Reverted compression of backups from gz to bz2 again, to circumvent a bug under Windows with unicode directory names. -Wrote a plugin to always shuffle the revision queue, for users who want to override the prioritised scheduling introduced in Mnemosyne 1.1. This plugin can also be downloaded from http://www.mnemosyne-proj.org/node/142 -Only open the sound system when needed in order to save CPU time (patch by marmuta). -More robust upgrading from old Mnemosyne versions. -Fix bug where default export location was incorrectly specified. -Reword statistics dialog to make clear that we only show data for the next week. -Norwegian translation by Petter Goksoyr Asen.
2008-10-08	After py-qt3-base update, this works with python-2.5, remove INCOMPAT line.	wiz	1	-3/+1

2008-09-06	Add two comment lines for xdg-dirs.	wiz	1	-1/+3

2008-09-06	Initial import of mnemosyne-1.1.1.	wiz	4	-0/+218
	This project is the successor to memaid. The Mnemosyne Project has two aspects: * It's a sophisticated free flash-card tool which optimizes your learning process. * It's a research project into the nature of long-term memory. The Mnemosyne software resembles a traditional flash-card program to help you memorise question/answer pairs, but with an important twist: it uses a sophisticated algorithm to schedule the best time for a card to come up for review. Difficult cards that you tend to forget quickly will be scheduled more often, while Mnemosyne won't waste your time on things you remember well. While you use the software, detailed statistics can be kept on your learning process. If you want, these logs can be uploaded in a transparent and anonymous way to a central server for analysis. This data will be valuable to study the behaviour of our memory over a very long time period. As an additional benefit, the results will be used to improve the scheduling algorithms behind the software even further.