scala: function which removes elements out of a list with a bigger predecessor












0















I want to write a tail-recursive function in scala biggerPredecessor which removes elements out of a list which have a bigger predecessor.



for example:



(1,3,2,5,7)


should result in:



(1,3,5,7)


Here is what I have so far but now I got stuck.



def biggerPredecessor(xs: List[Int]) : List[Int] = (xs) match
{
def finalElements(ys: List[Int], xs: List[Int]) : List[Int] = (ys, xs) match
{
case (Nil, x::xs) => finalElements(new List(x), xs)
case (y::ys, x::xs) if x > y => x::xs // insert in reverse order into list
case (y::ys, Nil) => // ...
}
}









share|improve this question























  • Does it need to be this complex?

    – erip
    Nov 19 '18 at 15:50











  • I assume that for input List(5,3,4,6) the correct result should be List(5,6) and not List(5,4,6). Not all the answers provided so far produce this result.

    – jwvh
    Nov 19 '18 at 20:39
















0















I want to write a tail-recursive function in scala biggerPredecessor which removes elements out of a list which have a bigger predecessor.



for example:



(1,3,2,5,7)


should result in:



(1,3,5,7)


Here is what I have so far but now I got stuck.



def biggerPredecessor(xs: List[Int]) : List[Int] = (xs) match
{
def finalElements(ys: List[Int], xs: List[Int]) : List[Int] = (ys, xs) match
{
case (Nil, x::xs) => finalElements(new List(x), xs)
case (y::ys, x::xs) if x > y => x::xs // insert in reverse order into list
case (y::ys, Nil) => // ...
}
}









share|improve this question























  • Does it need to be this complex?

    – erip
    Nov 19 '18 at 15:50











  • I assume that for input List(5,3,4,6) the correct result should be List(5,6) and not List(5,4,6). Not all the answers provided so far produce this result.

    – jwvh
    Nov 19 '18 at 20:39














0












0








0


1






I want to write a tail-recursive function in scala biggerPredecessor which removes elements out of a list which have a bigger predecessor.



for example:



(1,3,2,5,7)


should result in:



(1,3,5,7)


Here is what I have so far but now I got stuck.



def biggerPredecessor(xs: List[Int]) : List[Int] = (xs) match
{
def finalElements(ys: List[Int], xs: List[Int]) : List[Int] = (ys, xs) match
{
case (Nil, x::xs) => finalElements(new List(x), xs)
case (y::ys, x::xs) if x > y => x::xs // insert in reverse order into list
case (y::ys, Nil) => // ...
}
}









share|improve this question














I want to write a tail-recursive function in scala biggerPredecessor which removes elements out of a list which have a bigger predecessor.



for example:



(1,3,2,5,7)


should result in:



(1,3,5,7)


Here is what I have so far but now I got stuck.



def biggerPredecessor(xs: List[Int]) : List[Int] = (xs) match
{
def finalElements(ys: List[Int], xs: List[Int]) : List[Int] = (ys, xs) match
{
case (Nil, x::xs) => finalElements(new List(x), xs)
case (y::ys, x::xs) if x > y => x::xs // insert in reverse order into list
case (y::ys, Nil) => // ...
}
}






scala






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 19 '18 at 15:45









johnnydasjohnnydas

31




31













  • Does it need to be this complex?

    – erip
    Nov 19 '18 at 15:50











  • I assume that for input List(5,3,4,6) the correct result should be List(5,6) and not List(5,4,6). Not all the answers provided so far produce this result.

    – jwvh
    Nov 19 '18 at 20:39



















  • Does it need to be this complex?

    – erip
    Nov 19 '18 at 15:50











  • I assume that for input List(5,3,4,6) the correct result should be List(5,6) and not List(5,4,6). Not all the answers provided so far produce this result.

    – jwvh
    Nov 19 '18 at 20:39

















Does it need to be this complex?

– erip
Nov 19 '18 at 15:50





Does it need to be this complex?

– erip
Nov 19 '18 at 15:50













I assume that for input List(5,3,4,6) the correct result should be List(5,6) and not List(5,4,6). Not all the answers provided so far produce this result.

– jwvh
Nov 19 '18 at 20:39





I assume that for input List(5,3,4,6) the correct result should be List(5,6) and not List(5,4,6). Not all the answers provided so far produce this result.

– jwvh
Nov 19 '18 at 20:39












4 Answers
4






active

oldest

votes


















2














You could do something like this:



def biggerPredecessor(xs: List[Int]): List[Int] = {
@tailrec
def finalElements (xs: List[Int], acc: List[Int] ): List[Int] = xs match {
case Nil => acc
case head :: tail => finalElements(tail, if(acc.headOption.getOrElse(0) > head) acc else head :: acc)
}

finalElements(xs, List.empty[Int]).reverse
}


Or a bit more concise, using foldLeft:



foldLeft(List.empty[Int])((acc, elem) => if(acc.lastOption.getOrElse(0) > elem) acc else acc :+ elem))





share|improve this answer































    2














    My solution would go with foldLeft:



      val seq = List(1,3,2,5,7)

    val result = seq.foldLeft(List[Int]()){
    case (Nil, x: Int) => List(x)
    case (ys, x) if x > ys.last => ys :+ x
    case (ys, x) => ys
    }

    println(result)


    Here the version suggested by Luis Miguel Mejía Suárez:



     val result2 = seq.foldLeft(List.empty[Int]){
    case (Nil, x) => List(x)
    case (ys, x) if x > ys.head => x :: ys
    case (ys, x) => ys
    }.reverse


    Ok, here the recursive translation suggested by jwvh:



      def biggerPredecessor(list: List[Int],
    results: List[Int] = List.empty[Int]): List[Int] = (list, results) match {
    case (Nil, _) => results.reverse
    case (x::xs, Nil) => biggerPredecessor(xs, List(x))
    case (x::xs, y::_) if x > y => biggerPredecessor( xs,x :: results)
    case (_::xs, _) => biggerPredecessor(xs, results)
    }

    println(biggerPredecessor(seq))


    This needs one more case, when the list is done.



    You can paste this in Scalafiddle and check yourself.






    share|improve this answer


























    • Nice solution, just a few things. First, it would be more optimal to just build the target list backwards (using :: and head instead of :+ and last) and then reverse it at the end. Second, you don't need to specify that x is an Int in your first case. Finally, I think is more readable and common to use List.empty[Int] than List[Int]() .

      – Luis Miguel Mejía Suárez
      Nov 19 '18 at 16:23













    • @LuisMiguelMejíaSuárez: thanks for your comment - I added your suggestion.

      – pme
      Nov 19 '18 at 16:31











    • The only answer (so far) that handles input List(-2,-4,-3,-1) correctly. It is not, however, recursive as the OP requested.

      – jwvh
      Nov 19 '18 at 21:45











    • Nicely done! (You misspelled "Predecessor.")

      – jwvh
      Nov 20 '18 at 8:20



















    1














    if you just need non-recursive solution then here it is:



    def biggerPredecessor(ls: List[Int]) =
    ls.take(1) ++ ls
    .zip(ls.drop(1))
    .collect {
    case (l,r) if !(l>r) => r
    }





    share|improve this answer





















    • 3





      I love the approach. Just a hint, though: there's trouble in paradise when the sequence is empty.

      – erip
      Nov 19 '18 at 16:00











    • fixed that, but now it looks a bit less cool though)

      – Bogdan Vakulenko
      Nov 19 '18 at 17:15











    • @BogdanVakulenko Using take(1) and drop(1) might be cleaner than using headOption and getOrElse. take and drop are almost always a safer option than head and tail.

      – Tim
      Nov 19 '18 at 19:04













    • @Tim thanks. fixed the answer. it looks more elegant with take/drop. but probably a bit slower because of ++ instead of ::

      – Bogdan Vakulenko
      Nov 19 '18 at 20:08











    • @BogdanVakulenko You could also use collect with a guard on the case to replace both the filter and map.

      – Tim
      Nov 19 '18 at 22:09



















    0














    I am a big fan of the sliding function:



    def biggerPredecessor(xs: List[Int]) : List[Int] =
    (null.asInstanceOf[Int] :: xs) // null is the sentinel, because first item is always included
    .sliding(2)
    .flatMap {
    case List(a,b) => if (a > b) None else Some(b)
    case List(_) => None // special handling for empty xs
    }
    .toList


    println(biggerPredecessor(List()))
    println(biggerPredecessor(List(1)))
    println(biggerPredecessor(List(1,2)))
    println(biggerPredecessor(List(2,1)))
    println(biggerPredecessor(List(1,3,2,5,7)))


    ScalaFiddle






    share|improve this answer
























    • Wouldn't Int.MinValue make more sense as the sentinel?

      – jwvh
      Nov 19 '18 at 20:35











    • Yes, that would make more sense

      – ygor
      Nov 19 '18 at 21:51











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    4 Answers
    4






    active

    oldest

    votes








    4 Answers
    4






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    2














    You could do something like this:



    def biggerPredecessor(xs: List[Int]): List[Int] = {
    @tailrec
    def finalElements (xs: List[Int], acc: List[Int] ): List[Int] = xs match {
    case Nil => acc
    case head :: tail => finalElements(tail, if(acc.headOption.getOrElse(0) > head) acc else head :: acc)
    }

    finalElements(xs, List.empty[Int]).reverse
    }


    Or a bit more concise, using foldLeft:



    foldLeft(List.empty[Int])((acc, elem) => if(acc.lastOption.getOrElse(0) > elem) acc else acc :+ elem))





    share|improve this answer




























      2














      You could do something like this:



      def biggerPredecessor(xs: List[Int]): List[Int] = {
      @tailrec
      def finalElements (xs: List[Int], acc: List[Int] ): List[Int] = xs match {
      case Nil => acc
      case head :: tail => finalElements(tail, if(acc.headOption.getOrElse(0) > head) acc else head :: acc)
      }

      finalElements(xs, List.empty[Int]).reverse
      }


      Or a bit more concise, using foldLeft:



      foldLeft(List.empty[Int])((acc, elem) => if(acc.lastOption.getOrElse(0) > elem) acc else acc :+ elem))





      share|improve this answer


























        2












        2








        2







        You could do something like this:



        def biggerPredecessor(xs: List[Int]): List[Int] = {
        @tailrec
        def finalElements (xs: List[Int], acc: List[Int] ): List[Int] = xs match {
        case Nil => acc
        case head :: tail => finalElements(tail, if(acc.headOption.getOrElse(0) > head) acc else head :: acc)
        }

        finalElements(xs, List.empty[Int]).reverse
        }


        Or a bit more concise, using foldLeft:



        foldLeft(List.empty[Int])((acc, elem) => if(acc.lastOption.getOrElse(0) > elem) acc else acc :+ elem))





        share|improve this answer













        You could do something like this:



        def biggerPredecessor(xs: List[Int]): List[Int] = {
        @tailrec
        def finalElements (xs: List[Int], acc: List[Int] ): List[Int] = xs match {
        case Nil => acc
        case head :: tail => finalElements(tail, if(acc.headOption.getOrElse(0) > head) acc else head :: acc)
        }

        finalElements(xs, List.empty[Int]).reverse
        }


        Or a bit more concise, using foldLeft:



        foldLeft(List.empty[Int])((acc, elem) => if(acc.lastOption.getOrElse(0) > elem) acc else acc :+ elem))






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 19 '18 at 15:57









        hasumedichasumedic

        1,981715




        1,981715

























            2














            My solution would go with foldLeft:



              val seq = List(1,3,2,5,7)

            val result = seq.foldLeft(List[Int]()){
            case (Nil, x: Int) => List(x)
            case (ys, x) if x > ys.last => ys :+ x
            case (ys, x) => ys
            }

            println(result)


            Here the version suggested by Luis Miguel Mejía Suárez:



             val result2 = seq.foldLeft(List.empty[Int]){
            case (Nil, x) => List(x)
            case (ys, x) if x > ys.head => x :: ys
            case (ys, x) => ys
            }.reverse


            Ok, here the recursive translation suggested by jwvh:



              def biggerPredecessor(list: List[Int],
            results: List[Int] = List.empty[Int]): List[Int] = (list, results) match {
            case (Nil, _) => results.reverse
            case (x::xs, Nil) => biggerPredecessor(xs, List(x))
            case (x::xs, y::_) if x > y => biggerPredecessor( xs,x :: results)
            case (_::xs, _) => biggerPredecessor(xs, results)
            }

            println(biggerPredecessor(seq))


            This needs one more case, when the list is done.



            You can paste this in Scalafiddle and check yourself.






            share|improve this answer


























            • Nice solution, just a few things. First, it would be more optimal to just build the target list backwards (using :: and head instead of :+ and last) and then reverse it at the end. Second, you don't need to specify that x is an Int in your first case. Finally, I think is more readable and common to use List.empty[Int] than List[Int]() .

              – Luis Miguel Mejía Suárez
              Nov 19 '18 at 16:23













            • @LuisMiguelMejíaSuárez: thanks for your comment - I added your suggestion.

              – pme
              Nov 19 '18 at 16:31











            • The only answer (so far) that handles input List(-2,-4,-3,-1) correctly. It is not, however, recursive as the OP requested.

              – jwvh
              Nov 19 '18 at 21:45











            • Nicely done! (You misspelled "Predecessor.")

              – jwvh
              Nov 20 '18 at 8:20
















            2














            My solution would go with foldLeft:



              val seq = List(1,3,2,5,7)

            val result = seq.foldLeft(List[Int]()){
            case (Nil, x: Int) => List(x)
            case (ys, x) if x > ys.last => ys :+ x
            case (ys, x) => ys
            }

            println(result)


            Here the version suggested by Luis Miguel Mejía Suárez:



             val result2 = seq.foldLeft(List.empty[Int]){
            case (Nil, x) => List(x)
            case (ys, x) if x > ys.head => x :: ys
            case (ys, x) => ys
            }.reverse


            Ok, here the recursive translation suggested by jwvh:



              def biggerPredecessor(list: List[Int],
            results: List[Int] = List.empty[Int]): List[Int] = (list, results) match {
            case (Nil, _) => results.reverse
            case (x::xs, Nil) => biggerPredecessor(xs, List(x))
            case (x::xs, y::_) if x > y => biggerPredecessor( xs,x :: results)
            case (_::xs, _) => biggerPredecessor(xs, results)
            }

            println(biggerPredecessor(seq))


            This needs one more case, when the list is done.



            You can paste this in Scalafiddle and check yourself.






            share|improve this answer


























            • Nice solution, just a few things. First, it would be more optimal to just build the target list backwards (using :: and head instead of :+ and last) and then reverse it at the end. Second, you don't need to specify that x is an Int in your first case. Finally, I think is more readable and common to use List.empty[Int] than List[Int]() .

              – Luis Miguel Mejía Suárez
              Nov 19 '18 at 16:23













            • @LuisMiguelMejíaSuárez: thanks for your comment - I added your suggestion.

              – pme
              Nov 19 '18 at 16:31











            • The only answer (so far) that handles input List(-2,-4,-3,-1) correctly. It is not, however, recursive as the OP requested.

              – jwvh
              Nov 19 '18 at 21:45











            • Nicely done! (You misspelled "Predecessor.")

              – jwvh
              Nov 20 '18 at 8:20














            2












            2








            2







            My solution would go with foldLeft:



              val seq = List(1,3,2,5,7)

            val result = seq.foldLeft(List[Int]()){
            case (Nil, x: Int) => List(x)
            case (ys, x) if x > ys.last => ys :+ x
            case (ys, x) => ys
            }

            println(result)


            Here the version suggested by Luis Miguel Mejía Suárez:



             val result2 = seq.foldLeft(List.empty[Int]){
            case (Nil, x) => List(x)
            case (ys, x) if x > ys.head => x :: ys
            case (ys, x) => ys
            }.reverse


            Ok, here the recursive translation suggested by jwvh:



              def biggerPredecessor(list: List[Int],
            results: List[Int] = List.empty[Int]): List[Int] = (list, results) match {
            case (Nil, _) => results.reverse
            case (x::xs, Nil) => biggerPredecessor(xs, List(x))
            case (x::xs, y::_) if x > y => biggerPredecessor( xs,x :: results)
            case (_::xs, _) => biggerPredecessor(xs, results)
            }

            println(biggerPredecessor(seq))


            This needs one more case, when the list is done.



            You can paste this in Scalafiddle and check yourself.






            share|improve this answer















            My solution would go with foldLeft:



              val seq = List(1,3,2,5,7)

            val result = seq.foldLeft(List[Int]()){
            case (Nil, x: Int) => List(x)
            case (ys, x) if x > ys.last => ys :+ x
            case (ys, x) => ys
            }

            println(result)


            Here the version suggested by Luis Miguel Mejía Suárez:



             val result2 = seq.foldLeft(List.empty[Int]){
            case (Nil, x) => List(x)
            case (ys, x) if x > ys.head => x :: ys
            case (ys, x) => ys
            }.reverse


            Ok, here the recursive translation suggested by jwvh:



              def biggerPredecessor(list: List[Int],
            results: List[Int] = List.empty[Int]): List[Int] = (list, results) match {
            case (Nil, _) => results.reverse
            case (x::xs, Nil) => biggerPredecessor(xs, List(x))
            case (x::xs, y::_) if x > y => biggerPredecessor( xs,x :: results)
            case (_::xs, _) => biggerPredecessor(xs, results)
            }

            println(biggerPredecessor(seq))


            This needs one more case, when the list is done.



            You can paste this in Scalafiddle and check yourself.







            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Nov 20 '18 at 9:40

























            answered Nov 19 '18 at 16:03









            pmepme

            2,45511224




            2,45511224













            • Nice solution, just a few things. First, it would be more optimal to just build the target list backwards (using :: and head instead of :+ and last) and then reverse it at the end. Second, you don't need to specify that x is an Int in your first case. Finally, I think is more readable and common to use List.empty[Int] than List[Int]() .

              – Luis Miguel Mejía Suárez
              Nov 19 '18 at 16:23













            • @LuisMiguelMejíaSuárez: thanks for your comment - I added your suggestion.

              – pme
              Nov 19 '18 at 16:31











            • The only answer (so far) that handles input List(-2,-4,-3,-1) correctly. It is not, however, recursive as the OP requested.

              – jwvh
              Nov 19 '18 at 21:45











            • Nicely done! (You misspelled "Predecessor.")

              – jwvh
              Nov 20 '18 at 8:20



















            • Nice solution, just a few things. First, it would be more optimal to just build the target list backwards (using :: and head instead of :+ and last) and then reverse it at the end. Second, you don't need to specify that x is an Int in your first case. Finally, I think is more readable and common to use List.empty[Int] than List[Int]() .

              – Luis Miguel Mejía Suárez
              Nov 19 '18 at 16:23













            • @LuisMiguelMejíaSuárez: thanks for your comment - I added your suggestion.

              – pme
              Nov 19 '18 at 16:31











            • The only answer (so far) that handles input List(-2,-4,-3,-1) correctly. It is not, however, recursive as the OP requested.

              – jwvh
              Nov 19 '18 at 21:45











            • Nicely done! (You misspelled "Predecessor.")

              – jwvh
              Nov 20 '18 at 8:20

















            Nice solution, just a few things. First, it would be more optimal to just build the target list backwards (using :: and head instead of :+ and last) and then reverse it at the end. Second, you don't need to specify that x is an Int in your first case. Finally, I think is more readable and common to use List.empty[Int] than List[Int]() .

            – Luis Miguel Mejía Suárez
            Nov 19 '18 at 16:23







            Nice solution, just a few things. First, it would be more optimal to just build the target list backwards (using :: and head instead of :+ and last) and then reverse it at the end. Second, you don't need to specify that x is an Int in your first case. Finally, I think is more readable and common to use List.empty[Int] than List[Int]() .

            – Luis Miguel Mejía Suárez
            Nov 19 '18 at 16:23















            @LuisMiguelMejíaSuárez: thanks for your comment - I added your suggestion.

            – pme
            Nov 19 '18 at 16:31





            @LuisMiguelMejíaSuárez: thanks for your comment - I added your suggestion.

            – pme
            Nov 19 '18 at 16:31













            The only answer (so far) that handles input List(-2,-4,-3,-1) correctly. It is not, however, recursive as the OP requested.

            – jwvh
            Nov 19 '18 at 21:45





            The only answer (so far) that handles input List(-2,-4,-3,-1) correctly. It is not, however, recursive as the OP requested.

            – jwvh
            Nov 19 '18 at 21:45













            Nicely done! (You misspelled "Predecessor.")

            – jwvh
            Nov 20 '18 at 8:20





            Nicely done! (You misspelled "Predecessor.")

            – jwvh
            Nov 20 '18 at 8:20











            1














            if you just need non-recursive solution then here it is:



            def biggerPredecessor(ls: List[Int]) =
            ls.take(1) ++ ls
            .zip(ls.drop(1))
            .collect {
            case (l,r) if !(l>r) => r
            }





            share|improve this answer





















            • 3





              I love the approach. Just a hint, though: there's trouble in paradise when the sequence is empty.

              – erip
              Nov 19 '18 at 16:00











            • fixed that, but now it looks a bit less cool though)

              – Bogdan Vakulenko
              Nov 19 '18 at 17:15











            • @BogdanVakulenko Using take(1) and drop(1) might be cleaner than using headOption and getOrElse. take and drop are almost always a safer option than head and tail.

              – Tim
              Nov 19 '18 at 19:04













            • @Tim thanks. fixed the answer. it looks more elegant with take/drop. but probably a bit slower because of ++ instead of ::

              – Bogdan Vakulenko
              Nov 19 '18 at 20:08











            • @BogdanVakulenko You could also use collect with a guard on the case to replace both the filter and map.

              – Tim
              Nov 19 '18 at 22:09
















            1














            if you just need non-recursive solution then here it is:



            def biggerPredecessor(ls: List[Int]) =
            ls.take(1) ++ ls
            .zip(ls.drop(1))
            .collect {
            case (l,r) if !(l>r) => r
            }





            share|improve this answer





















            • 3





              I love the approach. Just a hint, though: there's trouble in paradise when the sequence is empty.

              – erip
              Nov 19 '18 at 16:00











            • fixed that, but now it looks a bit less cool though)

              – Bogdan Vakulenko
              Nov 19 '18 at 17:15











            • @BogdanVakulenko Using take(1) and drop(1) might be cleaner than using headOption and getOrElse. take and drop are almost always a safer option than head and tail.

              – Tim
              Nov 19 '18 at 19:04













            • @Tim thanks. fixed the answer. it looks more elegant with take/drop. but probably a bit slower because of ++ instead of ::

              – Bogdan Vakulenko
              Nov 19 '18 at 20:08











            • @BogdanVakulenko You could also use collect with a guard on the case to replace both the filter and map.

              – Tim
              Nov 19 '18 at 22:09














            1












            1








            1







            if you just need non-recursive solution then here it is:



            def biggerPredecessor(ls: List[Int]) =
            ls.take(1) ++ ls
            .zip(ls.drop(1))
            .collect {
            case (l,r) if !(l>r) => r
            }





            share|improve this answer















            if you just need non-recursive solution then here it is:



            def biggerPredecessor(ls: List[Int]) =
            ls.take(1) ++ ls
            .zip(ls.drop(1))
            .collect {
            case (l,r) if !(l>r) => r
            }






            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Nov 20 '18 at 4:51

























            answered Nov 19 '18 at 15:57









            Bogdan VakulenkoBogdan Vakulenko

            1,001214




            1,001214








            • 3





              I love the approach. Just a hint, though: there's trouble in paradise when the sequence is empty.

              – erip
              Nov 19 '18 at 16:00











            • fixed that, but now it looks a bit less cool though)

              – Bogdan Vakulenko
              Nov 19 '18 at 17:15











            • @BogdanVakulenko Using take(1) and drop(1) might be cleaner than using headOption and getOrElse. take and drop are almost always a safer option than head and tail.

              – Tim
              Nov 19 '18 at 19:04













            • @Tim thanks. fixed the answer. it looks more elegant with take/drop. but probably a bit slower because of ++ instead of ::

              – Bogdan Vakulenko
              Nov 19 '18 at 20:08











            • @BogdanVakulenko You could also use collect with a guard on the case to replace both the filter and map.

              – Tim
              Nov 19 '18 at 22:09














            • 3





              I love the approach. Just a hint, though: there's trouble in paradise when the sequence is empty.

              – erip
              Nov 19 '18 at 16:00











            • fixed that, but now it looks a bit less cool though)

              – Bogdan Vakulenko
              Nov 19 '18 at 17:15











            • @BogdanVakulenko Using take(1) and drop(1) might be cleaner than using headOption and getOrElse. take and drop are almost always a safer option than head and tail.

              – Tim
              Nov 19 '18 at 19:04













            • @Tim thanks. fixed the answer. it looks more elegant with take/drop. but probably a bit slower because of ++ instead of ::

              – Bogdan Vakulenko
              Nov 19 '18 at 20:08











            • @BogdanVakulenko You could also use collect with a guard on the case to replace both the filter and map.

              – Tim
              Nov 19 '18 at 22:09








            3




            3





            I love the approach. Just a hint, though: there's trouble in paradise when the sequence is empty.

            – erip
            Nov 19 '18 at 16:00





            I love the approach. Just a hint, though: there's trouble in paradise when the sequence is empty.

            – erip
            Nov 19 '18 at 16:00













            fixed that, but now it looks a bit less cool though)

            – Bogdan Vakulenko
            Nov 19 '18 at 17:15





            fixed that, but now it looks a bit less cool though)

            – Bogdan Vakulenko
            Nov 19 '18 at 17:15













            @BogdanVakulenko Using take(1) and drop(1) might be cleaner than using headOption and getOrElse. take and drop are almost always a safer option than head and tail.

            – Tim
            Nov 19 '18 at 19:04







            @BogdanVakulenko Using take(1) and drop(1) might be cleaner than using headOption and getOrElse. take and drop are almost always a safer option than head and tail.

            – Tim
            Nov 19 '18 at 19:04















            @Tim thanks. fixed the answer. it looks more elegant with take/drop. but probably a bit slower because of ++ instead of ::

            – Bogdan Vakulenko
            Nov 19 '18 at 20:08





            @Tim thanks. fixed the answer. it looks more elegant with take/drop. but probably a bit slower because of ++ instead of ::

            – Bogdan Vakulenko
            Nov 19 '18 at 20:08













            @BogdanVakulenko You could also use collect with a guard on the case to replace both the filter and map.

            – Tim
            Nov 19 '18 at 22:09





            @BogdanVakulenko You could also use collect with a guard on the case to replace both the filter and map.

            – Tim
            Nov 19 '18 at 22:09











            0














            I am a big fan of the sliding function:



            def biggerPredecessor(xs: List[Int]) : List[Int] =
            (null.asInstanceOf[Int] :: xs) // null is the sentinel, because first item is always included
            .sliding(2)
            .flatMap {
            case List(a,b) => if (a > b) None else Some(b)
            case List(_) => None // special handling for empty xs
            }
            .toList


            println(biggerPredecessor(List()))
            println(biggerPredecessor(List(1)))
            println(biggerPredecessor(List(1,2)))
            println(biggerPredecessor(List(2,1)))
            println(biggerPredecessor(List(1,3,2,5,7)))


            ScalaFiddle






            share|improve this answer
























            • Wouldn't Int.MinValue make more sense as the sentinel?

              – jwvh
              Nov 19 '18 at 20:35











            • Yes, that would make more sense

              – ygor
              Nov 19 '18 at 21:51
















            0














            I am a big fan of the sliding function:



            def biggerPredecessor(xs: List[Int]) : List[Int] =
            (null.asInstanceOf[Int] :: xs) // null is the sentinel, because first item is always included
            .sliding(2)
            .flatMap {
            case List(a,b) => if (a > b) None else Some(b)
            case List(_) => None // special handling for empty xs
            }
            .toList


            println(biggerPredecessor(List()))
            println(biggerPredecessor(List(1)))
            println(biggerPredecessor(List(1,2)))
            println(biggerPredecessor(List(2,1)))
            println(biggerPredecessor(List(1,3,2,5,7)))


            ScalaFiddle






            share|improve this answer
























            • Wouldn't Int.MinValue make more sense as the sentinel?

              – jwvh
              Nov 19 '18 at 20:35











            • Yes, that would make more sense

              – ygor
              Nov 19 '18 at 21:51














            0












            0








            0







            I am a big fan of the sliding function:



            def biggerPredecessor(xs: List[Int]) : List[Int] =
            (null.asInstanceOf[Int] :: xs) // null is the sentinel, because first item is always included
            .sliding(2)
            .flatMap {
            case List(a,b) => if (a > b) None else Some(b)
            case List(_) => None // special handling for empty xs
            }
            .toList


            println(biggerPredecessor(List()))
            println(biggerPredecessor(List(1)))
            println(biggerPredecessor(List(1,2)))
            println(biggerPredecessor(List(2,1)))
            println(biggerPredecessor(List(1,3,2,5,7)))


            ScalaFiddle






            share|improve this answer













            I am a big fan of the sliding function:



            def biggerPredecessor(xs: List[Int]) : List[Int] =
            (null.asInstanceOf[Int] :: xs) // null is the sentinel, because first item is always included
            .sliding(2)
            .flatMap {
            case List(a,b) => if (a > b) None else Some(b)
            case List(_) => None // special handling for empty xs
            }
            .toList


            println(biggerPredecessor(List()))
            println(biggerPredecessor(List(1)))
            println(biggerPredecessor(List(1,2)))
            println(biggerPredecessor(List(2,1)))
            println(biggerPredecessor(List(1,3,2,5,7)))


            ScalaFiddle







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 19 '18 at 18:10









            ygorygor

            1,112615




            1,112615













            • Wouldn't Int.MinValue make more sense as the sentinel?

              – jwvh
              Nov 19 '18 at 20:35











            • Yes, that would make more sense

              – ygor
              Nov 19 '18 at 21:51



















            • Wouldn't Int.MinValue make more sense as the sentinel?

              – jwvh
              Nov 19 '18 at 20:35











            • Yes, that would make more sense

              – ygor
              Nov 19 '18 at 21:51

















            Wouldn't Int.MinValue make more sense as the sentinel?

            – jwvh
            Nov 19 '18 at 20:35





            Wouldn't Int.MinValue make more sense as the sentinel?

            – jwvh
            Nov 19 '18 at 20:35













            Yes, that would make more sense

            – ygor
            Nov 19 '18 at 21:51





            Yes, that would make more sense

            – ygor
            Nov 19 '18 at 21:51


















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