GooFit fitting package
Project description
GooFit is a highly parallel fitting framework originally designed for High Energy Physics.
Installation: pipenv
Best method for an install you don’t expect to change! Use pipenv, the officially recommended method for managing installs, virtual environments, and dependencies.
To install:
pipenv install goofit
To run a shell:
pipenv shell
Installation: pip
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).
In practice, this looks like this:
pip install scikit-build cmake 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 git@github.com:GooFit/GooFit.git cd goofit pipenv install --verbose -e .
And, to use:
pipenv shell
You can set the PIP_INSTALL_OPTIONS variable to pass through build command, for example:
PIP_INSTALL_OPTIONS="-- -DGOOFIT_PACKAGES=OFF" pipenv install --verbose -e .
You can also install development requirements with the --dev flag.
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 git@github.com:GooFit/GooFit.git cd goofit python setup.py sdist twine upload dist/*
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