Scala: idiomatic way to combine a list of maps with the highest value of each key?

I have a list of [Int, Int] cards that have the same keys (1 to 20), and I would like to combine their contents into one [Int, Int] card.

I read another post about stack overflow about merging cards using |+|from scalaz library.

I came up with the following solution, but to me it seems awkward.

val defaultMap = (2 to ceiling).map((_,0)).toMap
val factors: Map[Int, Int] = (2 to ceiling). map(primeFactors(_)).
        foldRight(defaultMap)(mergeMaps(_, _))

def mergeMaps(xm: Map[Int, Int], ym: Map[Int, Int]): Map[Int,Int] = {
    def iter(acc: Map[Int,Int], other: Map[Int,Int], i: Int): Map[Int,Int] = {
      if (other.isEmpty) acc
      else iter(acc - i + (i -> math.max(acc(i), other(i))), other - i, i + 1)
    }
    iter(xm, ym, 2)
  }

def primeFactors(number: Int): Map[Int, Int] = {
  def iter(factors: Map[Int,Int], rem: Int, i: Int): Map[Int,Int] = {
    if (i > number) factors
    else if (rem % i == 0) iter(factors - i + (i -> (factors(i)+1)), rem / i, i)
    else iter(factors, rem, i + 1)
  }
  iter((2 to ceiling).map((_,0)).toMap, number, 2)
}

Explanation: val factorscreates a list of cards, each of which represents the main factors for numbers from 2-20; then these 18 cards are stacked into one card containing the highest value for each key.

UPDATE

@folone, ( , HashMaps):

import scalaz._
import Scalaz._
import Tags._

/**
 * Smallest Multiple
 *
 * 2520 is the smallest number that can be divided by each of the numbers 
 * from 1 to 10 without any remainder. What is the smallest positive number 
 * that is evenly divisible by all of the numbers from 1 to 20?
 *
 * User: Alexandros Bantis
 * Date: 1/29/13
 * Time: 8:07 PM
 */
object Problem005 {

  def findSmallestMultiple(ceiling: Int): Int = {
    val factors = (2 to ceiling).map(primeFactors(_).mapValues(MaxVal)).reduce(_ |+| _)
    (1 /: factors.map(m => intPow(m._1, m._2)))(_ * _)
  }

  private def primeFactors(number: Int): Map[Int, Int] = {
    def iter(factors: Map[Int,Int], rem: Int, i: Int): Map[Int,Int] = {
      if (i > number) factors.filter(_._2 > 0).mapValues(MaxVal)
      else if (rem % i == 0) iter(factors - i + (i -> (factors(i)+1)), rem / i, i)
      else iter(factors, rem, i + 1)
    }
    iter((2 to number).map((_,0)).toMap, number, 2)
  }

  private def intPow(x: Int, y: Int): Int = {
    def iter(acc: Int, rem: Int): Int = {
      if (rem == 0) acc
      else iter(acc * x, rem -1)
    }
    if (y == 0) 1 else iter(1, y)
  }
}
+6
3

, scalaz. :

> console
[info] Starting scala interpreter...
[info] 
Welcome to Scala version 2.10.0 (OpenJDK 64-Bit Server VM, Java 1.7.0_15).
Type in expressions to have them evaluated.
Type :help for more information.

scala> import scalaz._, Scalaz._, Tags._
import scalaz._
import Scalaz._
import Tags._

Semigroup Ints :

scala> Semigroup[Int @@ MaxVal]
res0: scalaz.Semigroup[scalaz.@@[Int,scalaz.Tags.MaxVal]] = scalaz.Semigroup$$anon$9@15a9a9c6

:

scala> val m1 = Map(1 -> 2, 2 -> 3) mapValues MaxVal
m1: scala.collection.immutable.Map[Int,scalaz.@@[Int,scalaz.Tags.MaxVal]] = Map(1 -> 2, 2 -> 3)

scala> val m2 = Map(1 -> 3, 4 -> 5) mapValues MaxVal
m2: scala.collection.immutable.Map[Int,scalaz.@@[Int,scalaz.Tags.MaxVal]] = Map(1 -> 3, 4 -> 5)

scala> m1 |+| m2
res1: scala.collection.immutable.Map[Int,scalaz.@@[Int,scalaz.Tags.MaxVal]] = Map(1 -> 3, 4 -> 5, 2 -> 3)

, "" ( @@), : http://etorreborre.blogspot.de/2011/11/practical-uses-for-unboxed-tagged-types.html

+2

Map s, immutable.HashMap, merged

def merged[B1 >: B](that: HashMap[A, B1])(mergef: ((A, B1), (A, B1)) ⇒ (A, B1)): HashMap[A, B1]

, .

, . - .

, - ++.

:

val m1 = immutable.HashMap[Int, Int](1 -> 2, 2 -> 3)
val m2 = immutable.HashMap[Int, Int](1 -> 3, 4 -> 5)
m1.merged(m2) {
  case ((k1, v1), (k2, v2)) => ((k1, math.max(v1, v2)))
}
+6

Scala 2.13, , , Map K)(f:A=>B)(reduce:(B,B)=>B):scala.collection.immutable.Map[K,B] rel="nofollow noreferrer">groupMapReduce, ( ) groupBy :

// val map1 = Map(1 -> 2, 2 -> 3)
// val map2 = Map(1 -> 3, 4 -> 5)
(map1.toSeq ++ map2.toSeq).groupMapReduce(_._1)(_._2)(_ max _)
// Map[Int,Int] = Map(2 -> 3, 4 -> 5, 1 -> 3)

:

  • (List((1,2), (2,3), (1,3), (4,5)))

  • group ( MapReduce)

  • mapgrouped values ​​with their second part of the tuple (part of the map of the Map Reduce group )

  • reducedisplayed values ​​( _ max _), taking them max (reduce part of groupMap Reduce )

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