1 files changed, 66 insertions, 0 deletions
diff --git a/nixpkgs/pkgs/games/mnemosyne/default.nix b/nixpkgs/pkgs/games/mnemosyne/default.nix
new file mode 100644
index 000000000000..99c369fdce80
--- /dev/null
+++ b/nixpkgs/pkgs/games/mnemosyne/default.nix
@@ -0,0 +1,66 @@
+{ fetchurl
+, python
+}:
+
+python.pkgs.buildPythonApplication rec {
+  pname = "mnemosyne";
+  version = "2.6.1";
+
+  src = fetchurl {
+    url    = "mirror://sourceforge/project/mnemosyne-proj/mnemosyne/mnemosyne-${version}/Mnemosyne-${version}.tar.gz";
+    sha256 = "0xcwikq51abrlqfn5bv7kcw1ccd3ip0w6cjd5vnnzwnaqwdj8cb3";
+  };
+
+  propagatedBuildInputs = with python.pkgs; [
+    pyqt5
+    matplotlib
+    cherrypy
+    cheroot
+    webob
+    pillow
+  ];
+
+  # No tests/ directrory in tarball
+  doCheck = false;
+
+  prePatch = ''
+    substituteInPlace setup.py --replace /usr $out
+    find . -type f -exec grep -H sys.exec_prefix {} ';' | cut -d: -f1 | xargs sed -i s,sys.exec_prefix,\"$out\",
+  '';
+
+  postInstall = ''
+    mkdir -p $out/share
+    mv $out/${python.sitePackages}/$out/share/locale $out/share
+    rm -r $out/${python.sitePackages}/nix
+  '';
+
+  meta = {
+    homepage = https://mnemosyne-proj.org/;
+    description = "Spaced-repetition software";
+    longDescription = ''
+      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.
+
+      ## Efficient learning
+
+      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.
+
+      ## Memory research
+
+      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.
+    '';
+  };
+}