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Edit: README.rst
.. image:: http://www.attrs.org/en/latest/_static/attrs_logo.png :alt: attrs Logo ====================================== ``attrs``: Classes Without Boilerplate ====================================== .. image:: https://readthedocs.org/projects/attrs/badge/?version=stable :target: http://www.attrs.org/en/stable/?badge=stable :alt: Documentation Status .. image:: https://travis-ci.org/python-attrs/attrs.svg?branch=master :target: https://travis-ci.org/python-attrs/attrs :alt: CI Status .. image:: https://codecov.io/github/python-attrs/attrs/branch/master/graph/badge.svg :target: https://codecov.io/github/python-attrs/attrs :alt: Test Coverage .. teaser-begin ``attrs`` is the Python package that will bring back the **joy** of **writing classes** by relieving you from the drudgery of implementing object protocols (aka `dunder <https://nedbatchelder.com/blog/200605/dunder.html>`_ methods). Its main goal is to help you to write **concise** and **correct** software without slowing down your code. .. -spiel-end- For that, it gives you a class decorator and a way to declaratively define the attributes on that class: .. -code-begin- .. code-block:: pycon >>> import attr >>> @attr.s ... class SomeClass(object): ... a_number = attr.ib(default=42) ... list_of_numbers = attr.ib(default=attr.Factory(list)) ... ... def hard_math(self, another_number): ... return self.a_number + sum(self.list_of_numbers) * another_number >>> sc = SomeClass(1, [1, 2, 3]) >>> sc SomeClass(a_number=1, list_of_numbers=[1, 2, 3]) >>> sc.hard_math(3) 19 >>> sc == SomeClass(1, [1, 2, 3]) True >>> sc != SomeClass(2, [3, 2, 1]) True >>> attr.asdict(sc) {'a_number': 1, 'list_of_numbers': [1, 2, 3]} >>> SomeClass() SomeClass(a_number=42, list_of_numbers=[]) >>> C = attr.make_class("C", ["a", "b"]) >>> C("foo", "bar") C(a='foo', b='bar') After *declaring* your attributes ``attrs`` gives you: - a concise and explicit overview of the class's attributes, - a nice human-readable ``__repr__``, - a complete set of comparison methods, - an initializer, - and much more, *without* writing dull boilerplate code again and again and *without* runtime performance penalties. This gives you the power to use actual classes with actual types in your code instead of confusing ``tuple``\ s or `confusingly behaving <http://www.attrs.org/en/stable/why.html#namedtuples>`_ ``namedtuple``\ s. Which in turn encourages you to write *small classes* that do `one thing well <https://www.destroyallsoftware.com/talks/boundaries>`_. Never again violate the `single responsibility principle <https://en.wikipedia.org/wiki/Single_responsibility_principle>`_ just because implementing ``__init__`` et al is a painful drag. .. -testimonials- Testimonials ============ **Amber Hawkie Brown**, Twisted Release Manager and Computer Owl: Writing a fully-functional class using attrs takes me less time than writing this testimonial. **Glyph Lefkowitz**, creator of `Twisted <https://twistedmatrix.com/>`_, `Automat <https://pypi.python.org/pypi/Automat>`_, and other open source software, in `The One Python Library Everyone Needs <https://glyph.twistedmatrix.com/2016/08/attrs.html>`_: I’m looking forward to is being able to program in Python-with-attrs everywhere. It exerts a subtle, but positive, design influence in all the codebases I’ve see it used in. **Kenneth Reitz**, author of `requests <http://www.python-requests.org/>`_, Python Overlord at Heroku, `on paper no less <https://twitter.com/hynek/status/866817877650751488>`_: attrs—classes for humans. I like it. **Łukasz Langa**, prolific CPython core developer and Production Engineer at Facebook: I'm increasingly digging your attr.ocity. Good job! .. -end- .. -project-information- Getting Help ============ Please use the ``python-attrs`` tag on `StackOverflow <https://stackoverflow.com/questions/tagged/python-attrs>`_ to get help. Answering questions of your fellow developers is also great way to help the project! Project Information =================== ``attrs`` is released under the `MIT <https://choosealicense.com/licenses/mit/>`_ license, its documentation lives at `Read the Docs <http://www.attrs.org/>`_, the code on `GitHub <https://github.com/python-attrs/attrs>`_, and the latest release on `PyPI <https://pypi.org/project/attrs/>`_. It’s rigorously tested on Python 2.7, 3.4+, and PyPy. If you'd like to contribute you're most welcome and we've written `a little guide <http://www.attrs.org/en/latest/contributing.html>`_ to get you started!
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