How to implement generic average function in scala?

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逝去的感伤
逝去的感伤 2021-02-04 03:26

It seems easy problem for any specific kind of Number i.e. Double/Integer but it is hard to write in general case.

implicit def iterebleWithAvg(data:Iterable[Dou         


        
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  • 2021-02-04 03:41

    You have to pass an implicit Numeric which will allow summation and conversion to Double:

    def average[T]( ts: Iterable[T] )( implicit num: Numeric[T] ) = {
      num.toDouble( ts.sum ) / ts.size
    }
    

    The compiler will provide the correct instance for you:

    scala> average( List( 1,2,3,4) )
    res8: Double = 2.5
    
    scala> average( 0.1 to 1.1 by 0.05 )
    res9: Double = 0.6000000000000001
    
    scala> average( Set( BigInt(120), BigInt(1200) ) )
    res10: Double = 660.0
    

    You can the use the function to define an implicit view (provided you propagate the implicit numeric dependency):

    implicit def iterebleWithAvg[T:Numeric](data:Iterable[T]) = new {
      def avg = average(data)
    }
    
    scala> List(1,2,3,4).avg
    res13: Double = 2.5
    
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  • 2021-02-04 03:53

    Here's the way I define it in my code.

    Instead of using Numeric, I use Fractional, since Fractional defines a division operation (Numeric doesn't necessarily have division). This means that when you call .avg, you will get back the same type you put in, instead of always getting Double.

    I also define it over all GenTraversableOnce collections so that it works on, for example, Iterator.

    class EnrichedAvgFractional[A](self: GenTraversableOnce[A]) {
      def avg(implicit num: Fractional[A]) = {
        val (total, count) = self.toIterator.foldLeft((num.zero, num.zero)) {
          case ((total, count), x) => (num.plus(total, x), num.plus(count, num.one))
        }
        num.div(total, count)
      }
    }
    implicit def enrichAvgFractional[A: Fractional](self: GenTraversableOnce[A]) = new EnrichedAvgFractional(self)
    

    Notice how if we give it a collection of Double, we get back Double and if we give it BigDecimal, we get back BigDecimal. We could even define our own Fractional number type (which I do occasionally), and it will work for that.

    scala> Iterator(1.0, 2.0, 3.0, 4.0, 5.0).avg
    res0: Double = 3.0
    
    scala> Iterator(1.0, 2.0, 3.0, 4.0, 5.0).map(BigDecimal(_)).avg
    res1: scala.math.BigDecimal = 3.0
    

    However, Int is not a kind of Fractional, meaning that it doesn't make sense to get an Int and the result of averaging Ints, so we have to have a special case for Int that converts to a Double.

    class EnrichedAvgInt(self: GenTraversableOnce[Int]) {
      def avg = {
        val (total, count) = self.toIterator.foldLeft(0, 0) {
          case ((total, count), x) => (total + x, count + 1)
        }
        total.toDouble / count
      }
    }
    implicit def enrichAvgInt(self: GenTraversableOnce[Int]) = new EnrichedAvgInt(self)
    

    So averaging Ints gives us a Double:

    scala> Iterator(1, 2, 3, 4, 5).avg
    res2: Double = 3
    
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