Given e.g.:
List(5, 2, 3, 3, 3, 5, 5, 3, 3, 2, 2, 2)
I\'d like to get to:
List(List(5), List(2), List(3, 3, 3), List(5, 5),
This is the trick that I normally use:
def split[T](list: List[T]) : List[List[T]] = list match {
case Nil => Nil
case h::t => val segment = list takeWhile {h ==}
segment :: split(list drop segment.length)
}
Actually... It's not, I usually abstract over the collection type and optimize with tail recursion as well, but wanted to keep the answer simple.
I have these implementations lying around from working on collections methods. In the end I checked in simpler implementations of inits and tails and left out cluster. Every new method no matter how simple ends up collecting a big tax which is hard to see from the outside. But here's the implementation I didn't use.
import generic._
import scala.reflect.ClassManifest
import mutable.ListBuffer
import annotation.tailrec
import annotation.unchecked.{ uncheckedVariance => uV }
def inits: List[Repr] = repSequence(x => (x, x.init), Nil)
def tails: List[Repr] = repSequence(x => (x, x.tail), Nil)
def cluster[A1 >: A : Equiv]: List[Repr] =
repSequence(x => x.span(y => implicitly[Equiv[A1]].equiv(y, x.head)))
private def repSequence(
f: Traversable[A @uV] => (Traversable[A @uV], Traversable[A @uV]),
extras: Traversable[A @uV]*): List[Repr] = {
def mkRepr(xs: Traversable[A @uV]): Repr = newBuilder ++= xs result
val bb = new ListBuffer[Repr]
@tailrec def loop(xs: Repr): List[Repr] = {
val seq = toCollection(xs)
if (seq.isEmpty)
return (bb ++= (extras map mkRepr)).result
val (hd, tl) = f(seq)
bb += mkRepr(hd)
loop(mkRepr(tl))
}
loop(self.repr)
}
[Edit: I forget other people won't know the internals. This code is written from inside of TraversableLike, so it wouldn't run out of the box.]