pyquivalence | pure Python implementation of equivalence sets

by gsakkis Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pyquivalence Summary

pyquivalence is a Python library. pyquivalence has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyquivalence has a Non-SPDX License. You can download it from GitHub.

This is a pure Python implementation of equivalence sets, partitions of objects that maintain the equivalence relation properties (reflexivity, symmetry, transitivity). Two objects are considered equivalent either explicitly, after being merged, or implicitly, through a key function. To learn how to use this module, read the docs and see the included unit tests.

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Support

pyquivalence has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyquivalence is current.

Quality

pyquivalence has no bugs reported.

Security

pyquivalence has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pyquivalence has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyquivalence releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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pyquivalence Key Features

No Key Features are available at this moment for pyquivalence.

pyquivalence Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install pyquivalence

You can download it from GitHub.
You can use pyquivalence like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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