1 files changed, 10 insertions, 7 deletions
diff --git a/src/main/java/edu/brown/cs/student/term/hub/SuspicionRanker.java b/src/main/java/edu/brown/cs/student/term/hub/SuspicionRanker.java
index 9f17569..d37910e 100644
--- a/src/main/java/edu/brown/cs/student/term/hub/SuspicionRanker.java
+++ b/src/main/java/edu/brown/cs/student/term/hub/SuspicionRanker.java
@@ -53,12 +53,12 @@ public class SuspicionRanker {
       HubSearch hub = new HubSearch(lm);
       Map<Holder, Double> holderToHubScore = hub.runHubSearch(start, end);
 
-
       ProfitCalculation pc = new ProfitCalculation(DatabaseQuerier.getConn(), "",
           new Date(start.toEpochMilli()),
           new Date(end.toEpochMilli()));
 
       Map<Integer, Double> profitMap = pc.getProfitMap();
+      System.out.println(profitMap);
 
       //if the maps are empty, we abort because we have entirely incomplete data
       if(profitMap.isEmpty() || holderToHubScore.isEmpty()){
@@ -66,15 +66,18 @@ public class SuspicionRanker {
       }
 
       double profitMax = getMaxOfMap(profitMap);
-      /*if all of our values are negative, we need to flip sides so that the
-      * biggest loser doesn't end up being the most suspicious person*/
+
+      //if all of our values are negative, we need to flip sides so that the
+      //biggest loser doesn't end up being the most suspicious person*/
      if(profitMax <= 0) {
         profitMax = Math.abs(getMinOfMap(profitMap));
      }
 
-     /*if both the min we found and max we found are 0, then we have
-     the special case where all the values are 0, in which case we
-     need to avoid dividing by 0*/
+
+     //if both the min we found and max we found are 0, then we have
+     //the special case where all the values are 0, in which case we
+     //need to avoid dividing by 0
+
      if(profitMax == 0){
        profitMax = 1;
      }
@@ -88,9 +91,9 @@ public class SuspicionRanker {
           normalizedProfitScore = profitMap.get(guy.getId()) / profitMax;
         }
 
-
         double normalizedHubScore = holderToHubScore.get(guy) / hubMax;
         double suspicionScore = normalizedHubScore * 0.6 + normalizedProfitScore * 0.4;
+
         guy.setSuspicionScore(suspicionScore);
         orderedSuspicion.add(guy);
       }