Metadata-Version: 1.2
Name: attrs
Version: 19.3.0
Summary: Classes Without Boilerplate
Home-page: https://www.attrs.org/
Author: Hynek Schlawack
Author-email: hs@ox.cx
License: MIT
Description: .. image:: https://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: https://www.attrs.org/en/stable/?badge=stable
           :alt: Documentation Status
        
        .. image:: https://attrs.visualstudio.com/attrs/_apis/build/status/python-attrs.attrs?branchName=master
           :target: https://attrs.visualstudio.com/attrs/_build/latest?definitionId=1&branchName=master
           :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
        
        .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
           :target: https://github.com/psf/black
           :alt: Code style: black
        
        .. 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(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 (equality and ordering),
        - an initializer,
        - and much more,
        
        *without* writing dull boilerplate code again and again and *without* runtime performance penalties.
        
        On Python 3.6 and later, you can often even drop the calls to ``attr.ib()`` by using `type annotations <https://www.attrs.org/en/latest/types.html>`_.
        
        This gives you the power to use actual classes with actual types in your code instead of confusing ``tuple``\ s or `confusingly behaving <https://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.org/project/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**, creator of `Requests <https://github.com/psf/requests>`_ (`on paper no less <https://twitter.com/hynek/status/866817877650751488>`_!):
        
          attrs—classes for humans.  I like it.
        
        
        **Łukasz Langa**, creator of `Black <https://github.com/psf/black>`_, prolific Python core developer, and release manager for Python 3.8 and 3.9:
        
          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 <https://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.
        
        We collect information on **third-party extensions** in our `wiki <https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs>`_.
        Feel free to browse and add your own!
        
        If you'd like to contribute to ``attrs`` you're most welcome and we've written `a little guide <https://www.attrs.org/en/latest/contributing.html>`_ to get you started!
        
        
        Release Information
        ===================
        
        19.3.0 (2019-10-15)
        -------------------
        
        Changes
        ^^^^^^^
        
        - Fixed ``auto_attribs`` usage when default values cannot be compared directly with ``==``, such as ``numpy`` arrays.
          `#585 <https://github.com/python-attrs/attrs/issues/585>`_
        
        `Full changelog <https://www.attrs.org/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/python-attrs/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 `subclassing 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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
