What we wanted was a function that generalized on
List. … So we want to generalize onfoldLeftoperation.
scala> object FoldLeftList {
def foldLeft[A, B](xs: List[A], b: B, f: (B, A) => B) = xs.foldLeft(b)(f)
}
defined module FoldLeftList
scala> def sum[A: Monoid](xs: List[A]): A = {
val m = implicitly[Monoid[A]]
FoldLeftList.foldLeft(xs, m.mzero, m.mappend)
}
sum: [A](xs: List[A])(implicit evidence$1: Monoid[A])A
scala> sum(List(1, 2, 3, 4))
res15: Int = 10
scala> sum(List("a", "b", "c"))
res16: String = abc
scala> sum(List(1, 2, 3, 4))(multiMonoid)
res17: Int = 24
Now we can apply the same abstraction to pull out
FoldLefttypeclass.
scala> :paste
// Entering paste mode (ctrl-D to finish)
trait FoldLeft[F[_]] {
def foldLeft[A, B](xs: F[A], b: B, f: (B, A) => B): B
}
object FoldLeft {
implicit val FoldLeftList: FoldLeft[List] = new FoldLeft[List] {
def foldLeft[A, B](xs: List[A], b: B, f: (B, A) => B) = xs.foldLeft(b)(f)
}
}
def sum[M[_]: FoldLeft, A: Monoid](xs: M[A]): A = {
val m = implicitly[Monoid[A]]
val fl = implicitly[FoldLeft[M]]
fl.foldLeft(xs, m.mzero, m.mappend)
}
// Exiting paste mode, now interpreting.
warning: there were 2 feature warnings; re-run with -feature for details
defined trait FoldLeft
defined module FoldLeft
sum: [M[_], A](xs: M[A])(implicit evidence$1: FoldLeft[M], implicit evidence$2: Monoid[A])A
scala> sum(List(1, 2, 3, 4))
res20: Int = 10
scala> sum(List("a", "b", "c"))
res21: String = abc
Both Int and List are now pulled out of sum.
In the above example, the traits Monoid and FoldLeft correspond to Haskell’s typeclass. Scalaz provides many typeclasses.
All this is broken down into just the pieces you need. So, it’s a bit like ultimate ducktyping because you define in your function definition that this is what you need and nothing more.