class NGramLookup {

  private NGramLookup() {
  }

  public static void main(String[] args) throws IOException {<FILL_FUNCTION_BODY>}
}

    if (args.length < 2) {
      System.out.println("Usage: " + NGramLookup.class.getName() + " <ngram...|file> <ngramDataIndex>");
      System.out.println("  Example: " + NGramLookup.class.getName() + " \"my house\" /data/ngram-index");
      System.out.println("  Example: " + NGramLookup.class.getName() + " /tmp/words.txt /data/ngram-index");
      System.exit(1);
    }
    String indexTopDir = args[args.length-1];
    try (LuceneLanguageModel lm = new LuceneLanguageModel(new File(indexTopDir))) {
      double totalP = 1;
      File maybeFile = new File(args[0]);
      if (args.length == 2 && maybeFile.isFile()) {
        List<String> lines = Files.readAllLines(maybeFile.toPath());
        for (String line : lines) {
          long count = lm.getCount(line);
          System.out.println(count + "\t" + line);
        }
      } else {
        for (int i = 0; i < args.length -1; i++) {
          String[] lookup = args[i].split(" ");
          long count = lm.getCount(Arrays.asList(lookup));
          Probability p = lm.getPseudoProbability(Arrays.asList(lookup));
          System.out.println(Arrays.toString(lookup) + " -> count:" + count + ", " + p + ", log:" + Math.log(p.getProb()));
          totalP *= p.getProb();
        }
        System.out.println("totalP=" + totalP);
      }
    }
  
<no_super_class>