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package scala.collection.parallel.benchmarks.parallel_array
object ReduceList extends Companion {
def benchName = "reduce-list";
def apply(sz: Int, p: Int, what: String) = new ReduceList(sz, p, what)
override def comparisons = List("jsr")
override def defaultSize = 20000
}
object ListCreator extends (Int => List[Int]) {
def apply(idx: Int) = {
val len = 50 + idx % 100
(for (i <- 0 until len) yield i).toList
}
}
object ListOps {
val redop = (a: List[Int], b: List[Int]) => combineLists(a, b)
val reducer = new extra166y.Ops.Reducer[List[Int]] {
def op(a: List[Int], b: List[Int]) = combineLists(a, b)
}
def combineLists(a: List[Int], b: List[Int]) = {
if (a.foldLeft(0)(_ + _) > b.foldLeft(0)(_ + _)) a else b
}
}
class ReduceList(sz: Int, p: Int, what: String)
extends Resettable[List[Int]](sz, p, what, ListCreator, new Array[Any](_), classOf[List[Int]]) {
def companion = ReduceList
override def repetitionsPerRun = 10
override val runs = 15
def runpar = pa.reduce(ListOps.redop)
def runseq = sequentialReduce(ListOps.redop, sz, List[Int]())
def runjsr = jsrarr.reduce(ListOps.reducer, List[Int]())
override def comparisonMap = collection.Map("jsr" -> runjsr _)
}
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