开发者

Working with tuples in Scala

I want to do something like this (simplified quite heavily):

((1, 2, 3, 4, 5, 6), (6, 5, 4, 3, 2, 1)).zipped map (_ + _)

Ignore the actual values of the integers (although it's important that these are 6-tuples, actually :)). Essentially, I want to use this fairly regularly in a function which maintains a Map[String, (Int, Int, Int, Int, Int, Int)] when an existing element is updated.

As it is, Scala spits this out at me:

<console>:6: error: could not find implicit value for parameter w1: ((Int, Int, Int, Int, Int, Int)) => scala.collection.TraversableLike[El1,Repr1]
   ((1, 2, 3, 4, 5, 6), (6, 5, 4, 3, 2, 1)).zipped

If I use Seqs instead of tuples, everything works fine, but I want to enforce an arity of 6 in the type开发者_StackOverflow中文版 system (I'll probably type Record = (Int, Int, Int, Int, Int, Int) as a quick refactor shortly).

Can anyone offer some advice on what I'm doing wrong/why Scala won't deal with the code above? I thought it might work if I used a 2- or 3-arity tuple, seeing as Scala defines Tuple2 and Tuple3s (I understand that scaling tuple functions across an arbitrary n-arity is difficult), but I get the same error.

Thanks in advance for any help offered :).


You only want to map over tuples which have identical types--otherwise the map wouldn't make sense--but Tuple doesn't contain that in its type signature. But if you're willing to do a little work, you can set it up so that tuples work the way you requested:

Groundwork:

class TupTup6[A,B](a: (A,A,A,A,A,A), b: (B,B,B,B,B,B)) {
  def op[C](f:(A,B)=>C) = ( f(a._1,b._1), f(a._2,b._2), f(a._3,b._3), 
                            f(a._4,b._4), f(a._5,b._5), f(a._6,b._6) )
}
implicit def enable_tuptup6[A,B](ab: ((A,A,A,A,A,A),(B,B,B,B,B,B))) = {
  new TupTup6(ab._1,ab._2)
}

Usage:

scala> ((1,2,3,4,5,6) , (6,5,4,3,2,1)) op { _ + _ }
res0: (Int, Int, Int, Int, Int, Int) = (7,7,7,7,7,7)


I received this little inspiration.

class TupleZipper[T <: Product](t1: T) {
  private def listify(p: Product) = p.productIterator.toList
  def zipWith(t2: T) = (listify(t1), listify(t2)).zipped
}
implicit def mkZipper[T <: Product](t1: T) = new TupleZipper(t1)

// ha ha, it's arity magic
scala> ((1, 2, 3, 4, 5, 6)) zipWith ((6, 5, 4, 3, 2))                      
<console>:8: error: type mismatch;
 found   : (Int, Int, Int, Int, Int)
 required: (Int, Int, Int, Int, Int, Int)
       ((1, 2, 3, 4, 5, 6)) zipWith ((6, 5, 4, 3, 2))
                                     ^

scala> ((1, 2, 3, 4, 5, 6)) zipWith ((6, 5, 4, 3, 2, 1))                   
res1: (List[Any], List[Any])#Zipped[List[Any],Any,List[Any],Any] = scala.Tuple2$Zipped@42e934e

scala> res1 map ((x, y) => x.asInstanceOf[Int] + y.asInstanceOf[Int])      
res2: List[Int] = List(7, 7, 7, 7, 7, 7)

Yes, a bunch of Anys comes out the other end. Not real thrilling but not a lot you can do when you try to force yourself on Tuples this way.

Edit: oh, and of course the type system gives you the full monty here.

scala> ((1, 2, 3, 4, 5, 6)) zipWith ((6, 5, 4, 3, 2, "abc"))         
<console>:8: error: type mismatch;
 found   : java.lang.String("abc")
 required: Int
       ((1, 2, 3, 4, 5, 6)) zipWith ((6, 5, 4, 3, 2, "abc"))
                                                     ^


import scala.collection._

type Record = (Int, Int, Int, Int, Int, Int)

implicit def toIterable(r: Record) = new Iterable[Int]{
  def iterator = r.productIterator.asInstanceOf[Iterator[Int]]
}

implicit def cbf[From <: Iterable[Int]] = new generic.CanBuildFrom[From, Int, Record] {
    def apply(from: From) = apply
    def apply = new mutable.Builder[Int, Record] {
      var array = Array.ofDim[Int](6)
      var i = 0

      def +=(elem: Int) = {
        array(i) += elem
        i += 1
        this
      } 

      def clear() = i = 0

      def result() = (array(0), array(1), array(2), array(3), array(4), array(5))

    }
}

usage:

scala> ((1, 2, 3, 4, 5, 6), (6, 5, 4, 3, 2, 1)).zipped.map{_ + _}
res1: (Int, Int, Int, Int, Int, Int) = (7,7,7,7,7,7)


Tuple2#zipped won't help you out here, it works when the contained elements are TraversableLike/IterableLike - which Tuples aren't.

You'll probably want to define your own sumRecords function that takes two Records and returns their sum:

def sumRecord(a:Record, b:Record) = new Record(
  a._1 + b._1,
  a._2 + b._2,
  a._3 + b._3,
  a._4 + b._4,
  a._5 + b._5,
  a._6 + b._6
)

Then to use it with a Pair[Record, Record]:

val p : Pair[Record, Record] = ...
val summed = sumRecord(p._1, p._2)

Sure, there are abstractions available; but as Record is going to be fixed throughout your design, then they have little value.


short solution:

type Record = (Int, Int, Int, Int, Int, Int)

implicit def toList(r: Record) = r.productIterator.asInstanceOf[Iterator[Int]].toList
implicit def toTuple(l: List[Int]): Record = (l(0), l(1), l(2), l(3), l(4), l(5))

usage:

scala> ((1,2,3,4,5,6), (6,5,4,3,2,1)).zipped map {_ + _}: Record
res0: (Int, Int, Int, Int, Int, Int) = (7,7,7,7,7,7)


You can now easily achieve this with shapeless, this way:

import shapeless._
import shapeless.syntax.std.tuple._

val a = (1, 2, 3, 4, 5, 6)
val b = (6, 5, 4, 3, 2, 1)

object sum extends Poly1 {
  implicit def f = use((t: (Int, Int)) => t._1 + t._2)
}

val r = a.zip(b) map sum // r is a (Int, Int, Int, Int, Int, Int)

The drawback is the weird syntax you have to use to express the sum function, but everything is type-safe and type-checked.


As update to Rex Kerr answer, starting from Scala 2.10 you can use implicit classes: syntactic sugar that makes that solution even shorter.

implicit class TupTup6[A,B](x: ((A,A,A,A,A,A),(B,B,B,B,B,B))) {
   def op[C](f:(A,B)=>C) = ( 
       f(x._1._1,x._2._1),
       f(x._1._2,x._2._2), 
       f(x._1._3,x._2._3),
       f(x._1._4,x._2._4), 
       f(x._1._5,x._2._5), 
       f(x._1._6,x._2._6) )
}


You get the error because you treat the tuple as a collection.

Is it possible for you to use lists instead of tuples? Then the calculation is simple:

scala> List(1,2,3,4,5,6).zip(List(1,2,3,4,5,6)).map(x => x._1 + x._2 )     
res6: List[Int] = List(2, 4, 6, 8, 10, 12)
0

上一篇:

下一篇:

精彩评论

暂无评论...
验证码 换一张
取 消

最新问答

问答排行榜