== Installation procedures for the imminent ANUGA numpy release ==

This page describes the procedures used to install the ANUGA support packages which allow you to run numpy
ANUGA on Ubuntu 8.10 (32 or 64 bit) and 32 bit Windows (XP or Vista).

This page will exist until the numpy release is finalised, at which time these procedures will be moved to
the ANUGA installation guide.

The procedures below use various support packages such as '''numpy'''.  The files containing the packages
may be [https://sourceforge.net/projects/anuga/ downloaded] from !SourceForge in the
[https://sourceforge.net/project/showfiles.php?group_id=172848&package_id=326049 numpy_support_software] package.

=== Ubuntu 8.10 - 32 bit ===

Using the Ubuntu Synaptic package manager, install the following packages:

* subversion
* python-dev
* python-profiler
* g++
* python-psyco

Of course, if you prefer using the console, you would do:
{{{
sudo install subversion
}}}
and so on.

install numpy:
    sudo apt-get install python-numpy

install NetCDF4:
    tar xzf netcdf.tar.gz
    cd netcdf-4.0.1
    ./configure
    make check					# OK
    sudo make install
    cd

install ScientificPython using numpy:
    tar xzf ScientificPython-2.9.0.tar.gz
    cd ScientificPython-2.9.0
    python setup.py build --numpy
    sudo python setup.py install
    cd

install matplotlib:
    sudo apt-get install python-matplotlib

if necessary, get ANUGA source code:
    svn co https://datamining.anu.edu.au/svn/ga
  or:
    cd $HOME/ga
    svn up
    cd

to test all of ANUGA:
    cd $HOME/ga/branches/numpy/anuga
    export PYTHONPATH=$HOME/ga/branches/numpy
    python compile_all.py
    python test_all.py				# OK
    cd

to validate ANUGA:
    cd $HOME/ga/branches/numpy_anuga_validation/automated_validation_tests
    python validate_all.py			# OK
    cd


=== Ubuntu 8.10 - 64 bit ===


=== Windows ===