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attrs: Attributes without boilerplate.
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.. teaser-begin
``attrs`` is an `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):
... x = attr.ib(default=42)
... y = attr.ib(default=attr.Factory(list))
>>> i = C(x=1, y=2)
>>> i
C(x=1, y=2)
>>> i == C(1, 2)
True
>>> i != C(2, 1)
True
>>> attr.asdict(i)
{'y': 2, 'x': 1}
>>> C()
C(x=42, y=[])
>>> C2 = attr.make_class("C2", ["a", "b"])
>>> C2("foo", "bar")
C2(a='foo', b='bar')
(If you don’t like the playful ``attr.s`` and ``attr.ib``, you can also use their no-nonsense aliases ``attr.attributes`` and ``attr.attr``).
You just specify the attributes to work with and ``attrs`` gives you:
- a nice human-readable ``__repr__``,
- a complete set of comparison methods,
- an initializer,
- and much more
*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!
``attrs``\ ’s documentation lives at `Read the Docs `_, the code on `GitHub `_.
It’s rigorously tested on Python 2.7, 3.4+, and PyPy.