Skip to main content

Tool for writing simple decorators.

Project description

https://travis-ci.org/zeekay/decorum.png?branch=master

Decorum is a simple tool which aims to make it easier to write flexible and simple decorators. It can also act similarly to functools.wraps.

Typical usage looks like this:

>>> from __future__ import print_function
>>> from decorum import decorator

>>> @decorator
... class my_decorator:
...    def wraps(self, f):
...        print("I'm returning the function! You can keep it!")
...        return f

Decorum lets you write decorators with and without arguments in a unified way. Your decorator can be used with or without arguments, called or not, and it will work the same way:

>>> @my_decorator
... def foo(x):
...     print(x)
I'm returning the function! You can keep it!

>>> foo('bar')
bar

Is identical to:

>>> @my_decorator()
... def foo(x):
...     print(x)
I'm returning the function! You can keep it!

Writing decorators

Decorum provides two easy ways to write your own decorators. You can use decorum.decorator to decorate decorator classes, or you can directly subclass decorum.Decorum. There are only two methods to be aware of when writing your own decorators. Define a wraps method to handle the actual decoration and return the decorated function, and optionally define an init method to handle any arguments you want to accept, and handle basic setup (it’s called before decoration by __init__, you can use it in a similar fashion to a real __init__ method).

Here is a slightly fancier example:

>>> from decorum import decorator

>>> @decorator
... class fancy:
...     def init(self, arg=None):
...         self.arg = arg
...
...     def wraps(self, f):
...         if self.arg:
...             def newf():
...                 print(self.arg)
...         else:
...             def newf():
...                 print('wut')
...         return newf

>>> @fancy
... def foo():
...     pass

>>> foo()
wut

>>> @fancy('woof')
... def foo():
...     pass

>>> foo()
woof

By default decorum will try to keep assign certain attributes to the wrapped function for you, namely __doc__ and __name__.

>>> import decorum

>>> @decorum.decorator
... class identity(object):
...     """Noop decorator: does nothing!"""

>>> @identity
... def my_function():
...     """My function's docstring."""

>>> print(my_function.__name__)
my_function
>>> print(my_function.__doc__)
My function's docstring.

The optional assigned keyword argument can be used to specify which attributes of the original function are assigned directly to the matching attributes on the wrapper function. This defaults to functools.WRAPPER_ASSIGNMENTS. You can specify False or None to disable this.

>>> @identity(assigned=None)
... def my_function():
...     """My function's docstring."""
>>> my_function.__name__ is None
True
>>> my_function.__doc__ is None
True

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

Decorum-0.5.2.tar.gz (5.7 kB view details)

Uploaded Source

File details

Details for the file Decorum-0.5.2.tar.gz.

File metadata

  • Download URL: Decorum-0.5.2.tar.gz
  • Upload date:
  • Size: 5.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for Decorum-0.5.2.tar.gz
Algorithm Hash digest
SHA256 37edb73dbc418135de6eac0ecfbf5aa784ad483650b38edc9ceee2a3da4acc74
MD5 bae7d4428b107041f7743087f0d025b2
BLAKE2b-256 73d432a187b954cca271dce3ca21095413dfddc7fe0ee1cdbfcc0512c1ce3b58

See more details on using hashes here.

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