1 |
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2 import M2._ |
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3 |
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4 // first test |
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5 |
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6 def urban_groupById(ratings: List[(String, String)], |
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7 m: Map[String, List[String]]) : Map[String, List[String]] = ratings match { |
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8 case Nil => m |
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9 case (id, mov) :: rest => { |
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10 val old_ratings = m.getOrElse (id, Nil) |
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11 val new_ratings = m + (id -> (mov :: old_ratings)) |
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12 urban_groupById(rest, new_ratings) |
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13 } |
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14 } |
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15 |
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16 //def urban_groupById(ratings: List[(String, String)]) = |
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17 // ratings.groupBy(_._1).view.mapValues(_.map(_._2)).toMap |
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18 |
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19 def urban_get_csv_file(name: String) : List[String] = { |
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20 import io.Source |
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21 import scala.util._ |
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22 val csv = Source.fromFile(name)("ISO-8859-1") |
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23 csv.mkString.split("\n").toList.drop(1) |
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24 } |
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25 |
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26 def urban_process_ratings(lines: List[String]) : List[(String, String)] = { |
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27 for (cols <- lines.map(_.split(",").toList); |
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28 if (cols(2).toInt >= 4)) yield (cols(0), cols(1)) |
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29 } |
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30 |
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31 def urban_process_movies(lines: List[String]) : List[(String, String)] = { |
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32 for (cols <- lines.map(_.split(",").toList)) yield (cols(0), cols(1)) |
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33 } |
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34 |
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35 |
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36 val urban_good_ratings = urban_process_ratings(urban_get_csv_file("ratings.csv")) |
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37 val urban_movie_names = urban_process_movies(urban_get_csv_file("movies.csv")).toMap |
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38 |
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39 val urban_ratings_map = urban_groupById(urban_good_ratings, Map()) |
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40 |
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41 assert((for (n <- List("1", "2", "3", "4", "5")) yield { |
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42 recommendations(urban_ratings_map, urban_movie_names, n).length |
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43 }) == List(2, 2, 2, 0, 2)) |
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44 |
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