How are Functors useful?

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轮回少年
轮回少年 2021-02-04 18:17

We know that any generic type F[_] withmap method, which complies to some laws, is a functor. For instance, List[_], Option

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  •  后悔当初
    2021-02-04 18:37

    One of the biggest benefits of concepts like functions is that there are generic constructions that allow you to build more complex types out of simpler functors, and guarantee that these complex types have certain properties. Functors understandably seem rather pointless when you consider them in isolation as you have done, but they become more and more useful the more such constructions you learn and master.

    One of the simpler examples is that several ways of combining functors also yield a functor; e.g., if List[A] and Option[A] are functors, so are:

    • Composition of functors: List[Option[A]] and Option[List[A]]
    • Products of functors: (List[A], Option[A])
    • Sums of functors: Either[List[A], Option[A]]

    I don't know enough to write this out in Scala, but in Haskell facts like these translate into generic code like these examples:

    -- A generic type to represent the composition of any two functors
    -- `f` and `g`.
    newtype Compose f g a = Compose { getCompose :: f (g a) }
    
    -- If `f` and `g` are functors, so is `Compose f g`.
    instance (Functor f, Functor g) => Functor (Compose f g) where
      fmap f (Compose fga) = Compose (fmap (fmap f) fga)
    

    This is a very simple example, but:

    • It's already useful as an analytical tool at least. A lot of data types that people write in practice, when you look at them through the lens of this example, turn out to be products, sums or compositions of simpler functors. So once you understand these constructions you can automatically "sense" when you write a complex type that it is a functor, and how to write its map() operation.
    • The more elaborate examples have the same flavor:
      • We have a generic construction that guarantees certain contracts when instantiated with a type that implements Functor;
      • When we add a Functor implementation to any a type, we gain the ability to use that type in that construction.

    A more elaborate example is free monads (link has an extended Scala example), a generic interpreter construction that relies on user-supplied Functors to define the "instructions" for the language. Other links (and these are mostly straight from a Google search):

    • https://softwaremill.com/free-monads/
    • http://underscore.io/blog/posts/2015/04/14/free-monads-are-simple.html

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