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Python package for computing various structural similarity metrics and other tasks related to structure similarity

  • LONGER DESCRIPTION HERE

For more information about the diffpy.similarity library, please consult our online documentation.

Citation

If you use diffpy.similarity in a scientific publication, we would like you to cite this package as

diffpy.similarity Package, https://github.com/diffpy/diffpy.similarity

Installation

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.similarity_env

conda create -n diffpy.similarity_env diffpy.similarity
conda activate diffpy.similarity_env

To confirm that the installation was successful, type

python -c "import diffpy.similarity; print(diffpy.similarity.__version__)"

The output should print the latest version displayed on the badges above.

If the above does not work, you can use pip to download and install the latest release from Python Package Index. To install using pip into your diffpy.similarity_env environment, type

pip install diffpy.similarity

If you prefer to install from sources, after installing the dependencies, obtain the source archive from GitHub. Once installed, cd into your diffpy.similarity directory and run the following

pip install .

Getting Started

You may consult our online documentation for tutorials and API references.

Support and Contribute

Diffpy user group is the discussion forum for general questions and discussions about the use of diffpy.similarity. Please join the diffpy.similarity users community by joining the Google group. The diffpy.similarity 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.similarity 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.

  1. Install pre-commit in your working environment by running conda install pre-commit.
  2. 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 contributing, please read our Code of Conduct.

Contact

For more information on diffpy.similarity please visit the project web-page or email Prof. Simon Billinge at [email protected].

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