GooFit fitting package

## Project description

GooFit is a highly parallel fitting framework originally designed for High Energy Physics.

## Installation basics

This package can be installed with pip, but uses SciKit-Build, and is build, fully optimized, on your system. Because of this, there are a few caveats when running a pip install if you use an old version of pip. When you build, you should also use pip’s -v flag, so that you can see it build (and observe the configuration options). Otherwise, you might wait a very long time without output (especially if CUDA was found).

## Installation: pip

Using pip 10+:

pip install -v goofit

Using pip < 10:

pip install scikit-build # optionally cmake ninja
pip install -v goofit

GooFit will automatically look for CUDA, and build in GPU mode if it finds CUDA. You can pick a specific version by passing through a CMake option (see below), or by setting an environment variable, GOOFIT_DEVICE before building. You may want to build with OpenMP as a backend to avoid using your GPU, or you might want the CPP version if you are using Anaconda on macOS. Here are the three common backends:

GOOFIT_DEVICE=CUDA pip install -v goofit
GOOFIT_DEVICE=OMP pip install -v goofit
GOOFIT_DEVICE=CPP pip install -v goofit

The lines above use environment variables; GooFit will find any environment variables that start with GOOFIT_* and set them as CMake defines. If you want to send arbitrary commands to CMake through PIP, you will need to pass each option through, starting with a -- option. Pip will try to reuse the built version if you do not pass options, but will rebuild if you pass options, so this works for a rebuild, unlike the lines above. This is how you would do this to set OMP as the backend:

pip install -v goofit --install-option="--" --install-option="-DGOOFIT_DEVICE=OMP"
# OR
PIP_INSTALL_OPTION="-- -DGOOFIT_DEVICE=OMP" pip install -v goofit

## Installation: local

If you want to add PDFs to GooFit, or use GooFit packages, you should be working in a local directory using git. In the following example, I’m assuming you’ve set up SSH keys with GitHub; you can use https instead if you prefer by changing the URL to https://github.com/GooFit/GooFit.git:

git clone --recursive git@github.com:GooFit/GooFit.git
cd goofit

### Local pip

The normal install here works, though as usual you should include verbose output and you should be in a virtual environment (standard practice):

pip install -v .

## Project details

Uploaded source