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Functor (functional programming)

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This is an old revision of this page, as edited by WillNess (talk | contribs) at 23:26, 21 February 2023 (add some clarifying comments; more c/e; small code fix, (+1) -> (+ 1)). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Applying fmap (+1) to a binary tree of integers increments each integer in the tree by one.

In functional programming, a functor is a design pattern inspired by the definition from category theory that allows one to apply a function to values inside a generic type without changing the structure of the generic type. This idea is encoded in e.g. Haskell using the type class (i.e. interface)

class Functor f where
  fmap :: (a -> b) -> f a -> f b

with conditions called functor laws (where . stands for function composition),

fmap id = id
fmap (g . h) = (fmap g) . (fmap h)

In Scala, higher kinded types are used:

trait Functor[F[_]] {
  def map[A,B](a: F[A])(f: A => B): F[B]
}

Functors form a base for more complex abstractions like Applicative Functor, Monad, and Comonad, all of which build atop a canonical functor structure. Functors are useful in modeling functional effects by values of parameterized data types. Modifiable computations are modeled by allowing a pure function to be applied to values of the "inner" type, thus creating the new overall value which represents the modified computation (which might yet to be run).

In C++, the name functor is commonly used to refer to a function object, even though the ISO/IEC 14882 standard specification itself exclusively uses the latter term.

Examples

In Haskell, lists are a simple example of a functor. We may implement fmap as

fmap f []     = []
fmap f (x:xs) = (f x) : fmap f xs

A binary tree may similarly be described as a functor:

data Tree a = Leaf | Node a (Tree a) (Tree a)
instance Functor Tree where
   fmap f Leaf         = Leaf
   fmap f (Node x l r) = Node (f x) (fmap f l) (fmap f r)

If we have a binary tree tr :: Tree a and a function f :: a -> b, the function fmap f tr will apply f to every element of tr. For example, if a is Int, adding 1 to each element of tr can be expressed as fmap (+ 1) tr.[1]

See also

References

  1. ^ "Functors". Functional Pearls. University of Maryland. Retrieved 12 December 2022.