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 .
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file goofit-2.3.0.tar.gz.
File metadata
- Download URL: goofit-2.3.0.tar.gz
- Upload date:
- Size: 6.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b27a7f62f9fecedcab95f8c06d51c11a73a3ebfdb3b5827a173a73198f223633
|
|
| MD5 |
8ab05377c915e757d1e481a9ce0c27c8
|
|
| BLAKE2b-256 |
6aaf66ceddf6f148f43d11b49368b18ae49b30b6068e76600919ffab0233f3d7
|