Metadata-Version: 1.1
Name: goofit
Version: 2.1.0.dev2
Summary: GooFit fitting package
Home-page: https://goofit.github.io
Author: Henry Schreiner
Author-email: hschrein@cern.ch
License: LGPL 3.0
Description: GooFit for Python
        -----------------
        
        GooFit is a highly parallel fitting framework originally designed for High Energy Physics.
        
        Installation
        ============
        
        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
        
        
        Building a source package from git
        ==================================
        
        For developers:
        
        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/*
        
        
Platform: POSIX
Provides: goofit
