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. In Haskell this idea can be captured in a type class:
class Functor f where
fmap :: (a -> b) -> f a -> f b
This declaration says that any type of Functor must support a method fmap
, which maps a function over the element(s) of the Functor.
Functors in Haskell should also obey functor laws,[1] which state that the mapping operation preserves the identity function and composition of functions:
fmap id = id
fmap (g . h) = (fmap g) . (fmap h)
(where .
stands for function composition).
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).