Skip to main content

Simple overloading of methods and functions through an @overload decorator

Project description

Simple overloading of methods and functions through an @overload decorator.

This module allows one to provide multiple interfaces for a functions, methods, classmethods, staticmethods or classes. See below for some notes about overloading classes, you strange person you.

The appropriate implementation is chosen based on the calling argument pattern.

For example:

>>> class A(object):
...   @overload
...   def method(self, a):
...     return 'a'
...   @method.add
...   def method(self, a, b):
...     return 'a, b'
...
>>> a = A()
>>> a.method(1)
'a'
>>> a.method(1, 2)
'a, b'

The overloading handles fixed, keyword, variable (*args) and arbitrary keyword (**keywords) arguments.

It also handles annotations if those annotations are types:

>>> @overload
... def func(a:int):
...   return 'int'
...
>>> @func.add
... def func(a:str):
...   return 'str'
...
>>> func(1)
'int'
>>> func('s')
'str'
>>> func(1.0)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "overload.py", line 94, in f
    raise TypeError('invalid call argument(s)')
TypeError: invalid call argument(s)

This feature (and currently the module in general) requires Python 3.

The docstring and name (ie. documentation) of the resultant callable will match that of the first callable overloaded.

Overloading Classes

Overloading classes allows you to select a class type based on the construction arguments of each alternative type’s __new__ method.

There’s a catch though: the __new__ method must explicitly invoke the base class __new__ method, rather than use super() like usual. This is because after being @overloaded the class is a function, and super() doesn’t like being passed functions. So instead of:

@overload
class A(object):
    def __new__(cls):
        # this will fail because "A" is a function now
        return super(A, cls).__new__(cls)

you must:

@overload
class A(object):
    def __new__(cls):
        # must explicitly reference the base class
        return object.__new__(cls)

I’ll leave it up to the reader to justify their use of @overloading classes.

Version History (in Brief)

  • 1.1 altered the text of the invalid call TypeError. Removed debug prints.

  • 1.0 the initial release

See the end of the source file for the license of use.


I would be interested to know whether this module is useful - if you use it please indicate so at https://www.ohloh.net/p/pyoverload

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

overload-1.1.tar.gz (4.6 kB view details)

Uploaded Source

File details

Details for the file overload-1.1.tar.gz.

File metadata

  • Download URL: overload-1.1.tar.gz
  • Upload date:
  • Size: 4.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for overload-1.1.tar.gz
Algorithm Hash digest
SHA256 215740c5c374b6039e1fb196e127316d3203b76795e2aa137a7f9376621b5592
MD5 35f44b5fc7380faca79b06d063d0e6c7
BLAKE2b-256 3949241d870d1f93fcd9c6d426254128ed0bc3ca524cf963d8f5414540482853

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