diff -r e0a82c9f1d21 -r ea39bbc8d98d main_templates2/danube.scala
--- a/main_templates2/danube.scala	Thu Nov 04 12:20:12 2021 +0000
+++ b/main_templates2/danube.scala	Fri Nov 05 16:47:55 2021 +0000
@@ -1,8 +1,8 @@
-// Core Part about Movie Recommendations 
+// Main Part 2 about Movie Recommendations 
 // at Danube.co.uk
 //===========================================
 
-object CW7b {
+object M2 {
 
 import io.Source
 import scala.util._
@@ -158,29 +158,4 @@
 
 
 
-// (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 the movie was recommended. 
-// Sort all the pairs according to the number
-// of times they were recommended (most recommended movie name 
-// first).
-
-def most_recommended(recs: Map[String, List[String]],
-                     movs: Map[String, String]) : List[(String, Int)] = ???
-
-
-// testcase
-//
-//most_recommended(ratings_map, movies_map).take(3)
-// =>
-// List((Matrix,698), 
-//      (Star Wars: Episode IV - A New Hope (1977),402), 
-//      (Jerry Maguire (1996),382))
-
-
-
 }