What we wanted was a function that generalized on
List
. … So we want to generalize onfoldLeft
operation.
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
FoldLeft
typeclass.
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.