Building

Requirements

Strict requirements are:

• numpy

• scipy

To use Corrfunc as two-point counter engine (only engine linked so far):

• git+https://github.com/adematti/Corrfunc@desi

To perform MPI parallelization:

• mpi4py

• pmesh

pip

To install pycorr alone (without two-point counter engine, so fairly useless), simply run:

python -m pip install git+https://github.com/cosmodesi/pycorr

Corrfunc is currently the only two-point counter engine implemented. We currently use a branch of Corrfunc, located here. Uninstall previous Corrfunc version (if any):

pip uninstall Corrfunc

then:

python -m pip install git+https://github.com/cosmodesi/pycorr#egg=pycorr[corrfunc]

or if pycorr is already installed:

python -m pip install git+https://github.com/adematti/Corrfunc@desi

To further perform MPI parallelization or use scikit-learn’s KMeans algorithm to split catalog into subsamples for jackknife estimates:

python -m pip install git+https://github.com/cosmodesi/pycorr#egg=pycorr[mpi,jackknife,corrfunc]

git

First:

git clone https://github.com/cosmodesi/pycorr.git

To install the code:

python setup.py install --user

Or in development mode (any change to Python code will take place immediately):

python setup.py develop --user