= Installing ANUGA on Ubuntu using the very latest (bleeding edge) version of the code =

== Packages to install ==

Install the following packages via the commands

{{{
sudo apt-get install subversion
sudo apt-get install python-scientific
sudo apt-get install python-dev
sudo apt-get install python-matplotlib
sudo apt-get install python-profiler
sudo apt-get install python-argparse
}}}

== Checkout anuga via svn ==

From your home directory run:

{{{
svn checkout https://anuga.anu.edu.au/svn/anuga/trunk/anuga_core anuga_core
}}}

This should produce an anuga_core directory in your home directory

=== Setup PYTHONPATH ===

Put the following in your .bashrc file (if you use the bash shell. With some version of linux you need to put this command in the file .profile 

{{{
export PYTHONPATH=/home/username/anuga_core/source
}}}

(of course change /home/username to your home directory. )

Should rerun your .bashrc file with

{{{
source .bashrc
}}}

== Compile ANUGA Code ==

Now go to the directory anuga_core and compile the anuga files via:

{{{
python compile_all.py
}}}

== Run Unit tests ==

From the anuga_core directory run the unit tests via:

{{{
python test_all.py
}}}

== Conclusion ==

Hopefully all the unit tests pass. As this is bleeding edge there are sometimes a small number of failures as this is a work in progress. Have a look at the demos in the directory anuga_core/documentation/user_manual/demos (along with the user manual) to see how to use anuga.

== Updating ==

From time to time you should update your version of anuga. This is fairly easy. From your {{{anuga_core}}} directory update the anuga code via the subversion command

{{{
svn update
}}}

Then again from the {{{anuga_core}}} directory recompile the code and check the unit tests via

{{{
python compile_all.py
python test_all.py
}}}