characteristic: Python attributes without boilerplate.

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characteristic is an MIT <http://choosealicense.com/licenses/mit/>_-licensed Python package with class decorators that ease the chores of implementing the most common attribute-related object protocols.

You just specify the attributes to work with and characteristic gives you any or all of:

• a nice human-readable __repr__,
• a complete set of comparison methods,
• immutability for attributes,
• and a kwargs-based initializer (that cooperates with your existing one and optionally even checks the types of the arguments)

without writing dull boilerplate code again and again.

This gives you the power to use actual classes with actual types in your code instead of confusing tuple\ s or confusingly behaving namedtuple\ s.

So put down that type-less data structures and welcome some class into your life!

characteristic\ ’s documentation lives at Read the Docs <https://characteristic.readthedocs.org/>, the code on GitHub <https://github.com/hynek/characteristic>. It’s rigorously tested on Python 2.6, 2.7, 3.3+, and PyPy.

Authors

characteristic is written and maintained by Hynek Schlawack <https://hynek.me/>_.

The development is kindly supported by Variomedia AG <https://www.variomedia.de/>_.

It’s inspired by Twisted’s FancyEqMixin <http://twistedmatrix.com/documents/current/api/twisted.python.util.FancyEqMixin.html>_ but is implemented using class decorators because sub-classing is bad for you <https://www.youtube.com/watch?v=3MNVP9-hglc>_, m’kay?

The following folks helped forming characteristic into what it is now:

• Adam Dangoor <https://github.com/adamtheturtle>_
• Glyph <https://github.com/glyph>_
• Itamar Turner-Trauring <https://github.com/itamarst>_
• Jean-Paul Calderone <https://github.com/exarkun>_
• Julian Berman <https://github.com/julian>_
• Richard Wall <https://github.com/wallrj>_
• Tom Prince <https://github.com/tomprince>_