Python package for computing a measure of how strongly a distortion breaks different symmetries
- LONGER DESCRIPTION HERE
For more information about the diffpy.sbm library, please consult our online documentation.
If you use diffpy.sbm in a scientific publication, we would like you to cite this package as
diffpy.sbm Package, https://github.com/diffpy/diffpy.sbm
The preferred method is to use Miniconda Python and install from the "conda-forge" channel of Conda packages.
To add "conda-forge" to the conda channels, run the following in a terminal.
conda config --add channels conda-forge
We want to install our packages in a suitable conda environment.
The following creates and activates a new environment named diffpy.sbm_env
conda create -n diffpy.sbm_env python=3 conda activate diffpy.sbm_env
Then, to fully install diffpy.sbm in our active environment, run
conda install diffpy.sbm
Another option is to use pip to download and install the latest release from
Python Package Index.
To install using pip into your diffpy.sbm_env environment, type
pip install diffpy.sbm
If you prefer to install from sources, after installing the dependencies, obtain the source archive from
GitHub. Once installed, cd into your diffpy.sbm directory
and run the following
pip install .
Diffpy user group is the discussion forum for general questions and discussions about the use of diffpy.sbm. Please join the diffpy.sbm users community by joining the Google group. The diffpy.sbm project welcomes your expertise and enthusiasm!
If you see a bug or want to request a feature, please report it as an issue and/or submit a fix as a PR. You can also post it to the Diffpy user group.
Feel free to fork the project and contribute. To install diffpy.sbm in a development mode, with its sources being directly used by Python rather than copied to a package directory, use the following in the root directory
pip install -e .
To ensure code quality and to prevent accidental commits into the default branch, please set up the use of our pre-commit hooks.
- Install pre-commit in your working environment by running
conda install pre-commit. - Initialize pre-commit (one time only)
pre-commit install.
Thereafter your code will be linted by black and isort and checked against flake8 before you can commit. If it fails by black or isort, just rerun and it should pass (black and isort will modify the files so should pass after they are modified). If the flake8 test fails please see the error messages and fix them manually before trying to commit again.
Improvements and fixes are always appreciated.
Before contribuing, please read our Code of Conduct.
For more information on diffpy.sbm please visit the project web-page or email Prof. Simon Billinge at sb2896@columbia.edu.