This is the Python implementation of the FastPM numerical scheme for quasi-nbody simulations.

CI status / master

The best result is obtained by using anaconda.

Python 3 is the current development environment.

First set up the basic requirements,

conda install cython numpy scipy mpi4py nose

# We need to install gcc of conda to properly build the packages on OSX
# against conda packages

conda install gcc # only on Mac OSX

env LD_LIBRARY_PATH=$CONDA_PREFIX/lib pip install pmesh bigfile

FastPM is build as a forward model with abopt, so we need that.

pip install abopt

For running the nonlinear reconstruction code, or use the nbodykit integration, we need a recent version of nbodykit and matplotlib

conda install dask h5py pandas

pip install https://github.com/bccp/nbodykit/archive/master.zip

conda install matplotlib

Finally, we can install fastpm, either from PYPI (the latest release)

pip install fastpm

or from the git clone :

python setup.py install

When installing pmesh, prefix LD_LIBRARY_PATH helps the compilation of a package named pfft-python, the parallel FFT software we use.

FastPM and abopt, and pmesh come hand in hand -- to update abopt and pmesh:

pip install -U --nodeps abopt pmesh

To run the tests

python runtests.py

python runtests.py --mpirun

To run a single test (e.g. test_fastpm.py:test_name) :

python runtests.py --mpirun -t fastpm/tests/test_fastpm:test_name