CVS NEWS


Here you find a list of the last progresses in CVS. You can incorporate the freshly createdfeatures in a simple way using cvs commands

11/6/2003       improved serialisation.Functions MLab.LoadMLab(filename) and MLab.DumpMLab(filename)
The workspace may contain now function objects that are properly
marshalled. The others variables are pickled as before.
The import are traked and saved so that the loaded workspace
should work properly

Updating your installation

there are two directories where sources are evolving quickly.  These are

To update such directory with anonymous access to CVS do the following operations:

PROMPT$ cd Py4dat/SOURCES

PROMPT$ cvs -d :pserver:anonymous@cvs.sourceforge.net:/cvsroot/pydvt login

Logging in to :pserver:anonymous@cvs.sourceforge.net:2401/cvsroot/pydvt
CVS password: <ENTER>

PROMPT$ cvs -d :pserver:anonymous@cvs.sourceforge.net:/cvsroot/pydvt update

repeat the same operations for directory Py4dat/PyDVT/PyDVT