Metadata-Version: 1.1
Name: attrs
Version: 16.2.0
Summary: Attributes Without Boilerplate
Home-page: https://attrs.readthedocs.io/
Author: Hynek Schlawack
Author-email: hs@ox.cx
License: MIT
Description: =====================================
        attrs: Attributes Without Boilerplate
        =====================================
        
        .. image:: https://readthedocs.org/projects/attrs/badge/?version=stable
           :target: http://attrs.readthedocs.io/en/stable/?badge=stable
           :alt: Documentation Status
        
        .. image:: https://travis-ci.org/hynek/attrs.svg?branch=master
           :target: https://travis-ci.org/hynek/attrs
           :alt: CI status
        
        .. image:: https://codecov.io/github/hynek/attrs/branch/master/graph/badge.svg
          :target: https://codecov.io/github/hynek/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 <http://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 C(object):
           ...     x = attr.ib(default=42)
           ...     y = attr.ib(default=attr.Factory(list))
           ...
           ...     def hard_math(self, z):
           ...         return self.x * self.y * z
           >>> i = C(x=1, y=2)
           >>> i
           C(x=1, y=2)
           >>> i.hard_math(3)
           6
           >>> 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')
        
        
        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 ``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
        ============
        
          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.
        
          -- Glyph Lefkowitz, inventor of Twisted and Software Developer at Rackspace in `The One Python Library Everyone Needs <https://glyph.twistedmatrix.com/2016/08/attrs.html>`_
        
        
          I'm increasingly digging your attr.ocity. Good job!
        
          -- Łukasz Langa, prolific CPython core developer and Production Engineer at Facebook
        
        .. -end-
        
        .. -project-information-
        
        Project Information
        ===================
        
        ``attrs`` is released under the `MIT <http://choosealicense.com/licenses/mit/>`_ license,
        its documentation lives at `Read the Docs <https://attrs.readthedocs.io/>`_,
        the code on `GitHub <https://github.com/hynek/attrs>`_,
        and the latest release on `PyPI <https://pypi.org/project/attrs/>`_.
        It’s rigorously tested on Python 2.7, 3.4+, and PyPy.
        
        
        Release Information
        ===================
        
        16.2.0 (2016-09-17)
        -------------------
        
        Changes:
        ^^^^^^^^
        
        - Add ``attr.astuple()`` that -- similarly to ``attr.asdict()`` -- returns the instance as a tuple.
          `#77 <https://github.com/hynek/attrs/issues/77>`_
        - Converts now work with frozen classes.
          `#76 <https://github.com/hynek/attrs/issues/76>`_
        - Instantiation of ``attrs`` classes with converters is now significantly faster.
          `#80 <https://github.com/hynek/attrs/pull/80>`_
        - Pickling now works with ``__slots__`` classes.
          `#81 <https://github.com/hynek/attrs/issues/81>`_
        - ``attr.assoc()`` now works with ``__slots__`` classes.
          `#84 <https://github.com/hynek/attrs/issues/84>`_
        - The tuple returned by ``attr.fields()`` now also allows to access the ``Attribute`` instances by name.
          Yes, we've subclassed ``tuple`` so you don't have to!
          Therefore ``attr.fields(C).x`` is equivalent to the deprecated ``C.x`` and works with ``__slots__`` classes.
          `#88 <https://github.com/hynek/attrs/issues/88>`_
        
        `Full changelog <https://attrs.readthedocs.io/en/stable/changelog.html>`_.
        
        Credits
        =======
        
        ``attrs`` is written and maintained by `Hynek Schlawack <https://hynek.me/>`_.
        
        The development is kindly supported by `Variomedia AG <https://www.variomedia.de/>`_.
        
        A full list of contributors can be found in `GitHub's overview <https://github.com/hynek/attrs/graphs/contributors>`_.
        
        It’s the spiritual successor of `characteristic <https://characteristic.readthedocs.io/>`_ and aspires to fix some of it clunkiness and unfortunate decisions.
        Both were inspired by Twisted’s `FancyEqMixin <https://twistedmatrix.com/documents/current/api/twisted.python.util.FancyEqMixin.html>`_ but both are implemented using class decorators because `sub-classing is bad for you <https://www.youtube.com/watch?v=3MNVP9-hglc>`_, m’kay?
        
Keywords: class,attribute,boilerplate
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
