attrs/README.rst

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attrs: Attributes without boilerplate.
======================================
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.. image:: https://readthedocs.org/projects/attrs/badge/?version=stable
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:target: http://attrs.readthedocs.io/en/stable/?badge=stable
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:alt: Documentation Status
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.. image:: https://travis-ci.org/hynek/attrs.svg
:target: https://travis-ci.org/hynek/attrs
:alt: CI status
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.. image:: https://codecov.io/github/hynek/attrs/coverage.svg?branch=master
:target: https://codecov.io/github/hynek/attrs?branch=master
:alt: Coverage
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.. teaser-begin
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``attrs`` 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:
.. code-block:: pycon
>>> import attr
>>> @attr.s
... class C(object):
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... x = attr.ib(default=42)
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... y = attr.ib(default=attr.Factory(list))
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>>> i = C(x=1, y=2)
>>> i
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C(x=1, y=2)
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>>> i == C(1, 2)
True
>>> i != C(2, 1)
True
>>> attr.asdict(i)
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{'y': 2, 'x': 1}
>>> C()
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C(x=42, y=[])
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>>> C2 = attr.make_class("C2", ["a", "b"])
>>> C2("foo", "bar")
C2(a='foo', b='bar')
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(If you dont like the playful ``attr.s`` and ``attr.ib``, you can also use their no-nonsense aliases ``attr.attributes`` and ``attr.attr``).
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You just specify the attributes to work with and ``attrs`` gives you:
- a nice human-readable ``__repr__``,
- a complete set of comparison methods,
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- an initializer,
- and much more
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*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!
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``attrs``\ s documentation lives at `Read the Docs <https://attrs.readthedocs.io/>`_, the code on `GitHub <https://github.com/hynek/attrs>`_.
Its rigorously tested on Python 2.7, 3.4+, and PyPy.