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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. How to get the source code is documented elsewhere, but to be brief, download the latest numpy release package and unpack it into a place of your choice. We will assume that you unpacked the code into ~/ANUGA.
and set the PYTHONPATH environment to the correct place in the installed ANUGA system. Before the transfer of numpy code to the main branch, this was:
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