Skip to main content

Attributes without boilerplate.

Project description

Documentation Status CI status Coverage

attrs is an MIT-licensed Python package with class decorators that ease the chores of implementing the most common attribute-related object protocols:

>>> 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 tuples or confusingly behaving namedtuples.

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.

Release Information

16.0.0 (2016-05-23)

Backward-incompatible changes:

  • Python 3.3 and 2.6 aren’t supported anymore. They may work by chance but any effort to keep them working has ceased.

    The last Python 2.6 release was on October 29, 2013 and isn’t supported by the CPython core team anymore. Major Python packages like Django and Twisted dropped Python 2.6 a while ago already.

    Python 3.3 never had a significant user base and wasn’t part of any distribution’s LTS release.

Changes:

  • __slots__ have arrived! Classes now can automatically be slots-style (and save your precious memory) just by passing slots=True. #35

  • Allow the case of initializing attributes that are set to init=False. This allows for clean initializer parameter lists while being able to initialize attributes to default values. #32

  • attr.asdict can now produce arbitrary mappings instead of Python dicts when provided with a dict_factory argument. #40

  • Multiple performance improvements.

Full changelog.

Credits

attrs is written and maintained by Hynek Schlawack.

The development is kindly supported by Variomedia AG.

A full list of contributors can be found in GitHub’s overview.

It’s the spiritual successor of characteristic and aspires to fix some of it clunkiness and unfortunate decisions. Both were inspired by Twisted’s FancyEqMixin but both are implemented using class decorators because sub-classing is bad for you, m’kay?

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

attrs-16.0.0.tar.gz (42.5 kB view details)

Uploaded Source

Built Distribution

attrs-16.0.0-py2.py3-none-any.whl (15.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file attrs-16.0.0.tar.gz.

File metadata

  • Download URL: attrs-16.0.0.tar.gz
  • Upload date:
  • Size: 42.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for attrs-16.0.0.tar.gz
Algorithm Hash digest
SHA256 de6827a454d23716442b571bb35b0efb32a1b5c1037f09cfc7aaf405c7d68abc
MD5 5bcdd418f6e83e580434c63067c08a73
BLAKE2b-256 891580d388d696c8c8ba14874635207aa698eb30ef1242dbb54d9eccf0e927ff

See more details on using hashes here.

Provenance

File details

Details for the file attrs-16.0.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for attrs-16.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c0baae43ed42ee57e73646f343469d148e606cb075846b76039053f445cbc03d
MD5 fd0df120e109cc59dd00f887bc642f54
BLAKE2b-256 1f9e797b1b3e1faef3d62560ec55b1bf16311eeb54baf7d7ea64a1d7508824e5

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page