diff -r b17a98b0c52f -r e48ea8300b2d main_solution2/danube.scala
--- a/main_solution2/danube.scala	Sat Nov 06 00:06:39 2021 +0000
+++ b/main_solution2/danube.scala	Mon Nov 08 00:17:50 2021 +0000
@@ -3,7 +3,7 @@
 //========================================
 
 
-object CW7b { // for purposes of generating a jar
+object M2 { // for purposes of generating a jar
 
 import io.Source
 import scala.util._
@@ -57,11 +57,6 @@
 //good_ratings.length   //48580
 //movie_names.length    // 9742
 
-//==============================================
-// Do not change anything below, unless you want 
-// to submit the file for the advanced part 3!
-//==============================================
-
 
 // (3) Implement a grouping function that calulates a map
 //     containing the userIds and all the corresponding recommendations 
@@ -162,35 +157,5 @@
 // recommendations(ratings_map, movies_map, "4")
 //   => Nil  (there are three ratings for this movie in ratings.csv but they are not positive)     
 
-// (7) Calculate the recommendations for all movies according to
-// what the recommendations function in (6) produces (this
-// can take a few seconds). Put all recommendations into a list 
-// (of strings) and count how often the strings occur in
-// this list. This produces a list of string-int pairs,
-// where the first component is the movie name and the second
-// is the number of how many times they were recommended. 
-// Sort all the pairs according to the number
-// of times they were recommended (most recommended movie name 
-// first).
-
-def occurrences(xs: List[String]): List[(String, Int)] =
-  for (x <- xs.distinct) yield (x, xs.count(_ == x))
-
-def most_recommended(recs: Map[String, List[String]],
-                     movs: Map[String, String]) : List[(String, Int)] = {
-   val all =  (for (name <- movs.toList.map(_._1)) yield {
-     recommendations(recs, movs, name)                     
-   }).flatten
-   val occs = occurrences(all)
-   occs.sortBy(_._2).reverse
-}
-
-
-//most_recommended(ratings_map, movies_map).take(3)
-// =>
-// List((Matrix,698), 
-//      (Star Wars: Episode IV - A New Hope (1977),402), 
-//      (Jerry Maguire (1996),382))
-
 
 }