Multidispatching allows you to define methods and functions which should behave differently based on arguments’ types without cluttering if-elif-else chains and isinstance calls.

All you need is inside generic.multidispatch module. See examples below to learn how to use it to define multifunctions and multimethods.


Suppose we want to define a function which behaves differently based on arguments’ types. The naive solution is to inspect argument types with isinstance function calls but generic provides us with @multifunction decorator which can easily reduce the amount of boilerplate and provide desired level of extensibility:

from generic.multidispatching import multifunction

def sound(o):
  print "Woof!"

def sound(o):
  print "Meow!"

Each separate definition of sound function works for different argument types, we will call each such definition a multifunction case or simply a case. We can test if our sound multifunction works as expected:

>>> sound(Dog())
>>> sound(Cat())
>>> sound(Duck())

The main advantage of using multifunctions over single function with a bunch of isinstance checks is extensibility – you can add more cases for other types even in separate module:

from somemodule import sound

def sound(o)
  print "Quack!"

When behaviour of multifunction depends on some argument we will say that this multifunction dispatches on this argument.

Multifunctions of several arguments

You can also define multifunctions of several arguments and even decide on which of first arguments you want to dispatch. For example the following function will only dispatch on its first argument while requiring both of them:

def walk(dog, meters):
  print "Dog walks for %d meters" % meters

But sometimes you want multifunctions to dispatch on more than one argument, then you just have to provide several arguments to multifunction decorator and to subsequent when decorators:

@multifunction(Dog, Cat)
def chases(dog, cat):
  return True

@chases.when(Dog, Dog)
def chases(dog, dog):
  return None

@chases.when(Cat, Dog)
def chases(cat, dog):
  return False

You can have any number of arguments to dispatch on but they should be all positional, keyword arguments are allowed for multifunctions only if they’re not used for dispatch.

Providing “catch-all” case

There should be an analog to else statement – a case which is used when no matching case is found, we will call such case a catch-all case, here is how you can define it using otherwise decorator:

def sound(o):
  print "<unknown>"

You can try calling sound with whatever argument type you wish, it will never fall with TypeError anymore.


Another functionality provided by generic.multidispatch module are multimethods. Multimethods are similar to multifunctions except they are... methods. Technically the main and the only difference between multifunctions and multimethods is the latter is also dispatch on self argument.

Implementing multimethods is similar to implementing multifunctions, you just have to decorate your methods with multimethod decorator instead of multifunction. But there’s some issue with how Python’s classes works which forces us to use also has_multimethods class decorator:

from generic.multidispatch import multimethod, has_multimethods

class Animal(object):

  def can_eat(self, food):
    return True

  def can_eat(self, food):
    return False

This would work like this:

>>> animal = Animal()
>>> animal.can_eat(Vegetable())
>>> animal.can_eat(Meat())

So far we haven’t seen any differences between multifunctions and multimethods but as it have already been said there’s one – multimethods use self argument for dispatch. We can see that if we would subclass our Animal class and override can_eat method definition:

class Predator(Animal):

  def can_eat(self, food):
    return True

This will override can_eat on Predator instances but only for the case for Meat argument, case for the Vegetable is not overridden, so class inherits it from Animal:

>>> predator = Predator()
>>> predator.can_eat(Vegetable())
>>> predator.can_eat(Meat())

The only thing to care is you should not forget to include @has_multimethods decorator on classes which define or override multimethods.

You can also provide a “catch-all” case for multimethod using otherwise decorator just like in example for multifunctions.

API reference


Declare function as multifunction

This decorator takes argtypes argument types and replace decorated function with FunctionDispatcher object, which is responsible for multiple dispatch feature.


Declare method as multimethod

This decorator works exactly the same as multifunction() decorator but replaces decorated method with MethodDispatcher object instead.

Should be used only for decorating methods and enclosing class should have has_multimethods() decorator.


Declare class as one that have multimethods

Should only be used for decorating classes which have methods decorated with multimethod() decorator.

class generic.multidispatch.FunctionDispatcher(argspec, params_arity)

Multidispatcher for functions

This object dispatch calls to function by its argument types. Usually it is produced by multifunction() decorator.

You should not manually create objects of this type.


Decorator for registering new case for multifunction

New case will be registered for types identified by argtypes. The length of argtypes should be equal to the length of argtypes argument were passed corresponding multifunction() call, which also indicated the number of arguments multifunction dispatches on.


Decorator for overriding case for argtypes


Decorator which registeres “catch-all” case for multifunction

class generic.multidispatch.MethodDispatcher(argspec, params_arity)

Multiple dispatch for methods

This object dispatch call to method by its class and arguments types. Usually it is produced by multimethod() decorator.

You should not manually create objects of this type.


Register new case for multimethod for argtypes


Decorator for overriding case for argtypes


Decorator which registeres “catch-all” case for multimethod