micropython-samples/functor_singleton
Peter Hinch 1e88ebd417 Update build scripts. Add functor/singleton doc. 2019-10-18 10:39:20 +01:00
..
README.md Update build scripts. Add functor/singleton doc. 2019-10-18 10:39:20 +01:00
examples.py Update build scripts. Add functor/singleton doc. 2019-10-18 10:39:20 +01:00

README.md

Singleton class decorator

A singleton is a class which has only one instance. IT gurus debate whether they should be used, mainly on the grounds that project aims can change: a need for multiple instances may arise later. I would argue that singleton classes have merit in defining interfaces to hardware objects. You can be sure that (for example) a Pyboard D will only have one RTC instance.

The advantage of a singleton is that it removes the need for a global instance or for passing an instance between functions. The sole instance is retrieved at any point in the code using constructor call syntax.

def singleton(cls):
    instance = None
    def getinstance(*args, **kwargs):
        nonlocal instance
        if instance is None:
            instance = cls(*args, **kwargs)
        return instance
    return getinstance

@singleton
class MySingleton:
    def __init__(self, arg):
        self.state = arg
        print('In __init__', arg)

    def foo(self, arg):
        print('In foo', arg + self.state)

ms = MySingleton(42)  # prints 'In __init__ 42'
x = MySingleton()  # No output: assign existing instance to x
x.foo(5)  # prints 'In foo 47': original state + 5

The first instantiation sets the object's initial state. Thereafter 'instantiations' retrieve the original object.

There are other ways of achieving singletons. One is to define a (notionally private) class in a module. The module API contains an access function. There is a private instance, initially None. The function checks if the instance is None. If so it instantiates the object and assigns it to the instance. In all cases it returns the instance.

Both have similar logic. The decorator avoids the need for a separate module.

Functor class decorator

The term "functor" derives from "function constructor". It is a function-like object which can retain state. Like singletons the aim is to avoid globals: the state is contained in the functor instance.

def functor(cls):
    instance = None
    def getinstance(*args, **kwargs):
        nonlocal instance
        if instance is None:
            instance = cls(*args, **kwargs)
            return instance
        return instance(*args, **kwargs)
    return getinstance

@functor
class MyFunctor:
    def __init__(self, arg):
        self.state = arg
        print('In __init__', arg)

    def __call__(self, arg):
        print('In __call__', arg + self.state)

MyFunctor(42)  # prints 'In __init__ 42'
MyFunctor(5)  # 'In __call__ 47'

A use case is in asynchronous programming. The constructor launches a task: this will only occur once. Subsequent calls might alter the behaviour of that task. An example may be found in the Latency class.