Given a polymorphic function, how to match the polymorphic argument and return a value of the same type without resorting to explicit casts?
sealed trait Data
case class DString(s: String) extends Data
case class DInt(n: Int) extends Data
def double[D <: Data](d: D): D = d match {
case DString(s) => DString(s ++ s)
case DInt(n) => DInt(n + n)
}
This produces type mismatches (found DString
/ DInt
, required D
). Why does the type system not accept this when the input type clearly equals the output type?
This seems like a reformulation of a problem that pops up time and again on StackOverflow , which is usually solved using F-bounded polymorphism. The only difference is that you want to preserve the type you're working on in a function that's not defined inside the trait.
So, what I'd do is move that double
method inside the Data
trait and use an abstract type member:
sealed trait Data {
type Self <: Data
def double: Self
}
case class DString(s: String) extends Data {
type Self = DString
def double = DString(s ++ s)
}
case class DInt(n: Int) extends Data {
type Self = DInt
def double = DInt(n + n)
}
Otherwise, I'm not aware of a solution.
This may be a legitimate place to use method overloading:
def double(ds: DString) = DString(ds.s ++ ds.s)
def double(di: DInt) = DInt(di.n + di.n)
You can also use type classes:
abstract class DataDoubler[A <: Data] {
def double(a: A): A
}
implicit object DStringDoubler extends DataDoubler[DString] {
def double(ds: DString) = DString(ds.s ++ ds.s)
}
implicit object DIntDoubler extends DataDoubler[DInt] {
def double(di: DInt) = DInt(di.n + di.n)
}
def double[A <: Data](a: A)(implicit dd: DataDoubler[A]): A = dd.double(a)
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