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 ​downloaded from SourceForge in the ​numpy_support_software package.

Source package installations require you to unpack a *.tgz file. It doesn't matter where you do this, as you don't need the unpacked directory after a successful installation. You could use /tmp, for instance.

These procedures were written before the numpy trunk became the main branch in the repository. Any paths to numpy code mentioned here will be those in the old system. After numpy code goes into the main branch this document will be amended, but you should check the ANUGA wiki ​front page for announcements.

Ubuntu 8.10 - 32 bit

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

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

Of course, if you prefer using the console, you could do:

sudo install subversion

and so on.

Next, you need to install !NetCDF 4.0.1 from the source package:

tar xzf netcdf.tar.gz
cd netcdf-4.0.1
./configure
make check
sudo make install

Now install ScientificPython 2.9.0:

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

And finally, install numpy and matplotlib through Synaptic:

python-matplotlib

Ubuntu 8.10 - 64 bit

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

subversion
python-dev
python-profiler
g++
python-numpy

Of course, if you prefer using the console, you could do:

sudo install subversion

and so on.

You need to specify a special flag for source package builds:

export CFLAGS=-fPIC

Make sure that you perform any builds below in the terminal window you performed the above console command.

Next, you need to install !NetCDF 4.0.1 from the source package:

tar xzf netcdf.tar.gz
cd netcdf-4.0.1
./configure
make check
sudo make install

Now install ScientificPython 2.9.0:

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

And finally, install matplotlib through Synaptic:

python-matplotlib

Windows

Testing the installation

Before testing, you must have installed the ANUGA system and set the PYTHONPATH environment to the correct place in the installed ANUGA system.

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