Commit Graph

26 Commits

Author SHA1 Message Date
Weijia Wang
4056bd515f mnemosyne: fix build on darwin 2023-03-06 17:03:36 +02:00
R. RyanTM
3a49eaa77c mnemosyne: 2.7.1 -> 2.7.2 2020-08-07 00:37:55 -07:00
Renato Alves
f5814e2075
mnemosyne: Install mnemosyne.desktop 2020-04-13 12:30:29 +02:00
Renato Alves
4ea30958a8
mnemosyne: Add pyopengl to silence OpenGL warning 2020-04-13 12:30:29 +02:00
Renato Alves
f6889aa21e
mnemosyne: Fix 'Could not find Qt' segfault 2020-04-13 12:30:27 +02:00
Renato Alves
a0a16c7993 mnemosyne: add googletrans and gtts python dependencies
These python packages interface with Google Translate and their absence
causes mnemosyne to fail at launch.
2020-03-12 21:39:50 -07:00
R. RyanTM
99e0ed1339 mnemosyne: 2.7 -> 2.7.1 2020-02-23 22:12:58 -08:00
Mario Rodas
e6c6ba9fd4
Merge pull request #75280 from r-ryantm/auto-update/mnemosyne
mnemosyne: 2.6.1 -> 2.7
2019-12-22 18:10:13 -05:00
worldofpeace
abe3475df8 treewide: remove bash snippets in flags
Co-Authored-By: Jan Tojnar <jtojnar@gmail.com>
2019-12-15 00:10:41 -05:00
R. RyanTM
c29da36845 mnemosyne: 2.6.1 -> 2.7 2019-12-08 10:34:43 -08:00
Dima
fdefc23f7d mnemosyne: fix application
This application has been missing some dependencies and the
correct environment for Qt. Additionally I added a depdency
on anki to support the import feature.

The project has also moved development to Github, as very briefly
mentioned on https://mnemosyne-proj.org/contributing.php but the
2.6.1 version released there seems to differ and causes a bunch
of new problems, so leaving it for now.
2019-12-07 22:26:54 +01:00
R. RyanTM
b5cd99c4ab mnemosyne: 2.6 -> 2.6.1 (#45184)
Semi-automatic update generated by
https://github.com/ryantm/nixpkgs-update tools. This update was made
based on information from
https://repology.org/metapackage/mnemosyne/versions.
2018-08-19 22:51:46 +02:00
volth
52f53c69ce pkgs/*: remove unreferenced function arguments 2018-07-21 02:48:04 +00:00
Robert Schütz
d440ffab7d mnemosyne: 2.3.2 -> 2.6 2018-02-11 11:49:54 +01:00
Samuel Dionne-Riel
7b97c8c0c8 treewide: homepage+src updates (found by repology, #33263) 2018-01-05 20:42:46 +01:00
Laverne Schrock
f56fa4824a mnemosyne: move generated locale files to correct location
It feels like a bit of a hack to move them after the install rather
than generating them in the correct spot in the first place, but this
fixes #12763.
2017-02-15 00:50:05 +01:00
Vladimír Čunát
6eeea6effd Python: more evaluation fixups. 2016-10-14 00:03:12 +02:00
Frederik Rietdijk
6842a24b21 Remove top-level pyqt4
See #11567.
2016-08-14 12:38:01 +02:00
Frederik Rietdijk
4d06bf70f4 buildPythonApplication: use new function for Python applications 2016-02-19 13:16:41 +01:00
Domen Kožar
84a559393b mnemosyne: add webob dep (fixes #11746) 2015-12-17 09:30:02 +01:00
Peter Simons
7e45327e9a mnemosyne: update to version 2.3.2 2015-03-10 15:39:28 +01:00
Pascal Wittmann
8df0e0b151 Fixed many descriptions 2014-11-11 14:36:34 +01:00
vi
b5acc84ff3 Mnemosyne: provide capacity to override dependencies at the fidelity of a Python package. 2014-03-26 00:37:14 +08:00
vi
ed63dcb7c7 Have Mnemosyne take pkgs, rather than pythonPackages as argument. 2014-03-26 00:05:34 +08:00
vi
5149f278aa Patch *all* references to sys.exec_prefix. 2014-03-25 03:28:19 +08:00
vi
344279495a Add Mnemosyne 2.2.1.
The Mnemosyne Project has two aspects:

  * It's a free flash-card tool which optimizes your learning process.
  * It's a research project into the nature of long-term memory.

We strive to provide a clear, uncluttered piece of software, easy to use
and to understand for newbies, but still infinitely customisable through
plugins and scripts for power users.

Mnemosyne 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.

If you want, anonymous statistics on your learning process can be
uploaded to a central server for analysis. This data will be valuable to
study the behaviour of our memory over a very long time period. The
results will be used to improve the scheduling algorithms behind the
software even further.
2014-03-25 02:55:25 +08:00