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

CI status / master

DOI of fastpm-python.

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
conda install -c bccp nbodykit

# update nbodykit to latest
pip install -U --no-deps https://github.com/bccp/nbodykit/archive/master.zip

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

pip install fastpm

or from the git clone :

pip install .

There is a simple command line interface, which expects a config.py in the first command line argument.

python -m fastpm.main examples/run

or with MPI

mpirun -n 4 python -m fastpm.main examples/run

The arguments are listed in fastpm/main.py

To run the tests with MPI

python runtests.py

Run with a single rank and enable debugging

python runtests.py --single --pdb --capture=no

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

python runtests.py fastpm/tests/test_fastpm:test_name

python -m cProfile -o profile.stats run.py run
gprof2dot profile.stats -f pstats | dot -Tpng > profile.png

We can't use -m fastpm.main directory because there is no nested -m support.