Translate some comments to English

Author: szarnyasg

src/main/java/ldbc/snb/datagen/generator/ClusteringKnowsGenerator.java

@@ -463,7 +463,7 @@ private void createEdgesCommunityCore(ArrayList<Person> persons, Community c) {
                 if (pI.index_ < other.index_) {
                     float prob = rand.nextFloat();
                     if (prob <= c.p_) {
-                        // crear aresta
+                        // create edge
                         if (Knows.createKnow(rand, persons.get(pI.index_), persons.get(other.index_)))
                             numCoreCoreEdges++;
                         else

src/main/java/ldbc/snb/datagen/generator/DatagenParams.java

@@ -43,7 +43,7 @@ Linked Data Benchmark Council (http://www.ldbcouncil.org)
 
 public class DatagenParams {
 
-    //Files and folders
+    // Files and folders
     public static final String DICTIONARY_DIRECTORY = "/dictionaries/";
     public static final String SPARKBENCH_DIRECTORY = "/sparkbench";
     public static final String IPZONE_DIRECTORY = "/ipaddrByCountries";

src/main/java/ldbc/snb/datagen/generator/ForumGenerator.java

@@ -104,7 +104,7 @@ public Forum createGroup(RandomGeneratorFarm randomFarm, long forumId, Person pe
                                 language
         );
 
-        //Set tags of this forum
+        // Set tags of this forum
         forum.tags(interest);
 
 

src/main/java/ldbc/snb/datagen/generator/PhotoGenerator.java

@@ -84,7 +84,7 @@ public long createPhotos(RandomGeneratorFarm randomFarm, final Forum album, fina
                 int popularPlaceId;
                 PopularPlace popularPlace;
                 if (randomFarm.get(RandomGeneratorFarm.Aspect.POPULAR).nextDouble() < DatagenParams.probPopularPlaces) {
-                    //Generate photo information from user's popular place
+                    // Generate photo information from user's popular place
                     int popularIndex = randomFarm.get(RandomGeneratorFarm.Aspect.POPULAR).nextInt(popularPlaces.size());
                     popularPlaceId = popularPlaces.get(popularIndex);
                     popularPlace = Dictionaries.popularPlaces.getPopularPlace(album.place(), popularPlaceId);

src/main/java/ldbc/snb/datagen/generator/PostGenerator.java

@@ -103,7 +103,7 @@ public long createPosts(RandomGeneratorFarm randomFarm, final Forum forum, final
 
                     String content = "";
 
-                    // crear properties class para passar
+                    // crear properties class para passar _TRANSLATE
                     content = this.generator_.generateText(member.person(), postInfo.tags, prop);
 
                     int country = member.person().countryId();
@@ -136,7 +136,7 @@ public long createPosts(RandomGeneratorFarm randomFarm, final Forum forum, final
                                                              .get(RandomGeneratorFarm.Aspect.NUM_LIKE), forum, post_, Like.LikeType.POST, exporter);
                     }
 
-                    //// generate comments
+                    // generate comments
                     int numComments = randomFarm.get(RandomGeneratorFarm.Aspect.NUM_COMMENT)
                                                 .nextInt(DatagenParams.maxNumComments + 1);
                     postId = commentGenerator_.createComments(randomFarm, forum, post_, numComments, postId, exporter);

src/main/java/ldbc/snb/datagen/generator/TweetGenerator.java

@@ -49,17 +49,16 @@ public class TweetGenerator extends TextGenerator {
     private DistributionKey hashtag;
     private DistributionKey sentiment;
     private DistributionKey popularword;
-    //distribution popular,negative, neutral tweets
-    private DistributionKey lengthsentence; // sentece length and sentences per tweet
+    // distribution of popular, negative, and neutral tweets
+    private DistributionKey lengthsentence; // sentence length and sentences per tweet
     private DistributionKey lengthtweet;
 
     public TweetGenerator(Random random, TagDictionary tagDic) throws NumberFormatException, IOException {
         super(random, tagDic);
-        //input de fitxers i crea els 4 maps
+        // load the input files and create 5 maps
         hashtag = new DistributionKey(DatagenParams.SPARKBENCH_DIRECTORY + "/hashtags.csv");
         sentiment = new DistributionKey(DatagenParams.SPARKBENCH_DIRECTORY + "/sentiment.csv");
         popularword = new DistributionKey(DatagenParams.SPARKBENCH_DIRECTORY + "/words.csv");
-        //proportion = new DistributionKey(DatagenParams.SPARKBENCH_DIRECTORY + "/sentiment.csv");
         lengthsentence = new DistributionKey(DatagenParams.SPARKBENCH_DIRECTORY + "/sentence_lengths.csv");
         lengthtweet = new DistributionKey(DatagenParams.SPARKBENCH_DIRECTORY + "/sentence_count.csv");
     }
@@ -72,17 +71,17 @@ protected void load() {
     @Override
     public String generateText(PersonSummary member, TreeSet<Integer> tags, Properties prop) {
         StringBuffer content = null;
-        //mirar num de frases
+        // determine the number of sentence
         Double numsentences = Double.valueOf(lengthtweet.nextDouble(this.random));
         for (int i = 0; i < numsentences; ++i) {
             Double numwords = Double.valueOf(lengthsentence.nextDouble(this.random));
-            // depenen de la distribució de number hashtags per sentence int numhashtags;
+            // depenen de la distribució de number hashtags per sentence int numhashtags; _TRANSLATE
             //int numhashtags = funciondistribuciohashtags(numwords);
             int numhashtags = (int) (numwords * 0.4);
             for (int j = 0; j < numhashtags; ++j) {
                 content.append(" " + hashtag.nextDouble(this.random));
             }
-            // depenen de la distribució de number sentiment words per sentence int numhashtags;
+            // depenen de la distribució de number sentiment words per sentence int numhashtags; _TRANSLATE
             //int numsentimentswords = funciondistribuciosentimentswords(numwords);
             int numsentimentswords = (int) (numwords * 0.4);
             for (int q = 0; q < numhashtags; ++q) {
@@ -94,12 +93,9 @@ public String generateText(PersonSummary member, TreeSet<Integer> tags, Properti
             }
 
         }
-        //per cada frase mirar numero de paraules
-        //mirar numero de hashtags
+        //per cada frase mirar numero de paraules mirar numero de hashtags _TRANSLATE
         content.toString();
         return content.toString();
-
     }
 
-
 }