Multiple dispatch in function annotaions
Project description
A relatively sane approach to multiple dispatch in Python.
Forked from to support and use annotations for dispatch. This implementation of multiple dispatch is efficient, mostly complete, performs static analysis to avoid conflicts, and provides optional namespace support. It looks good too.
Example
>>> from adispatch import adispatch
>>> @adispatch()
... def add(x: int, y: int):
... return x + y
>>> @adispatch()
... def add(x: object, y: object):
... return "%s + %s" % (x, y)
>>> add(1, 2)
3
>>> add(1, 'hello')
'1 + hello'
What this does
Dispatches on all non-keyword arguments
Supports inheritance
Supports instance methods
Supports union types, e.g. (int, float)
Supports builtin abstract classes, e.g. Iterator, Number, ...
Caches for fast repeated lookup
Identifies possible ambiguities at function definition time
Provides hints to resolve ambiguities when they occur
Supports namespaces with optional keyword arguments
What this doesn’t do
Vararg dispatch
@adispatch()
def add(*args: [int]):
...
Diagonal dispatch
a = arbitrary_type()
@adispatch()
def are_same_type(x: a, y: a):
return True
Installation and Dependencies
adispatch supports Python 3.2+, is pure python and requires no other dependencies.
License
New BSD. See License.
Links
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