About pyxdameraulevenshtein

Home: https://github.com/gfairchild/pyxDamerauLevenshtein

Package license: BSD-3-Clause

Feedstock license: BSD-3-Clause

Summary: High performance Damerau-Levenshtein (DL) edit distance algorithm for Python.

Development: https://github.com/gfairchild/pyxDamerauLevenshtein

Documentation: https://github.com/gfairchild/pyxDamerauLevenshtein

pyxDamerauLevenshtein implements the Damerau-Levenshtein (DL) edit distance algorithm for Python in Cython for high performance.

Current build status

Azure

Variant Status linux_64_python3.7 linux_64_python3.8 linux_64_python3.9 osx_64_python3.7 osx_64_python3.8 osx_64_python3.9 win_64_python3.7 win_64_python3.8 win_64_python3.9

Current release info

Name	Downloads	Version	Platforms

Installing pyxdameraulevenshtein

Installing pyxdameraulevenshtein from the nsls2forge channel can be achieved by adding nsls2forge to your channels with:

conda config --add channels nsls2forge

Once the nsls2forge channel has been enabled, pyxdameraulevenshtein can be installed with:

conda install pyxdameraulevenshtein

It is possible to list all of the versions of pyxdameraulevenshtein available on your platform with:

conda search pyxdameraulevenshtein --channel nsls2forge

Updating pyxdameraulevenshtein-feedstock

If you would like to improve the pyxdameraulevenshtein recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the nsls2forge channel, whereupon the built conda packages will be available for everybody to install and use from the nsls2forge channel. Note that all branches in the nsls-ii-forge/pyxdameraulevenshtein-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers