goofit 2.1.1

GooFit fitting package

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. Make sure you have SciKit-Build (pip install scikit-build) before you attempt an install. Also, if you don’t have a recent version of CMake (3.8 or better recommended), also run pip install cmake. 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

Traditional pip install:

pip install scikit-build cmake
pip install -v goofit

If you want to send commands to CMake through PIP, use (for example):

PIP_INSTALL_OPTIONS="-- -DGOOFIT_PACKAGES=OFF" pip install -v goofit

Installation: local

If you want to add PDFs to GooFit, or use GooFit pacakges, 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 perfer by changing the URL to https://github.com/GooFit/GooFit.git:

git clone --recursive [e-mail]:GooFit/GooFit.git
cd goofit

Pipenv

You can set up a quick environment using pipenv:

pipenv install --dev

Then activate that environment:

pipenv shell

Local pip

The normal install here works, though as usual you should include verbose output:

pip install -v .

You can set the PIP_INSTALL_OPTIONS variable to pass through build command, for example:

PIP_INSTALL_OPTIONS="-- -DGOOFIT_PACKAGES=OFF" pip install -v .

Building a source package from git

For developers only:

To make a source package, start with a clean (such as new) git GooFit package with all submodules checked out:

git clone --branch=master --recursive --depth=10 [e-mail]:GooFit/GooFit.git
cd goofit
python setup.py sdist
twine upload dist/*