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Home/ Questions/Q 883527
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Editorial Team
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Editorial Team
Asked: May 15, 20262026-05-15T12:36:18+00:00 2026-05-15T12:36:18+00:00

import java.util.Random class Kostka { val rand = new Random(System.currentTimeMillis()) val value: List[Int] =

  • 0
import java.util.Random
class Kostka {
    val rand = new Random(System.currentTimeMillis())
    val value: List[Int] = List(rand.nextInt(6+1))
}
object MyRandom {
    def Fill[A](n: Int): List[A] = {
        if (n<=0) Nil
        else {
            var lst = List[A]
            for (i <- 1 to n){
                lst ++= (new Kostka).value
        }   
            return lst
        }
    }   
}
object Gra {
    def main(args: Array[String]): Unit = {
        println("Podaj liczbe kosci\n")
        val kosci: List[Kostka] = MyRandom.Fill[Kostka](10)
        // Policzenie wyniku
        println("Strzelaj ile razem wypadło\n")
        // przyjecie wyniku
        // dopisac ile wypadlo czyli wynik
        println("Wypadlo: ")
        println(kosci.toString)
    }
}

And error:

a.scala:10: error: missing arguments for method apply in object     List;
follow this method with `_' if you want to treat it as a partially   applied function
            var lst = List[A]
                      ^
one error found

When I have:

var lst = List[A]() 

i got that error:

a.scala:12: error: type mismatch;
 found   : List[Any]
 required: List[A]
                lst ++= (new Kostka).value
                ^
one error found
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-15T12:36:19+00:00Added an answer on May 15, 2026 at 12:36 pm

    in your declaration of lst you forgot the parens : lst = List[A]()
    In fact, List[A](a,b,c) is a synthatic sugar for List[A].apply(a,b,c), that’s why the compiler complained about apply‘s arguments.

    Edit: you can use a ListBuffer instead of your List (in the Fill method, and by the way, the name should be fill(cf http://davetron5000.github.com/scala-style/)) . When you finish the work to do on the buffer, you can call toList, which computes on constant time 😉 .

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