Examples of edu.stanford.nlp.util.Timing.done()

edu.stanford.nlp.util.Timing.done()
Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.

      throw new RuntimeIOException(e);
    }


    // initialize the loaded parser
    initialize(verbose);
    t.done("Initializing dependency parser");
  }


  // TODO this should be a function which returns the embeddings array + embedID
  // otherwise the class needlessly carries around the extra baggage of `embeddings`
  // (never again used) for the entire training process

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  public void executeOneTrainingBatch(List<Tree> trainingBatch, IdentityHashMap<Tree, byte[]> compressedParses, double[] sumGradSquare) {
    Timing convertTiming = new Timing();
    convertTiming.doing("Converting trees");
    IdentityHashMap<Tree, List<Tree>> topParses = CacheParseHypotheses.convertToTrees(trainingBatch, compressedParses, op.trainOptions.trainingThreads);
    convertTiming.done();


    DVParserCostAndGradient gcFunc = new DVParserCostAndGradient(trainingBatch, topParses, dvModel, op);
    double[] theta = dvModel.paramsToVector();


    //maxFuncIter = 10;

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      }
      prob = new LambdaSolveTagger(rf);
      if (VERBOSE) {
        System.err.println(" prob read ");
      }
      if (printLoading) t.done();
    } catch (IOException e) {
      throw new RuntimeIOException("Unrecoverable error while loading a tagger model", e);
    } catch (ClassNotFoundException e) {
      throw new RuntimeIOException("Unrecoverable error while loading a tagger model", e);
    }

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    log.println("## tagger training invoked at " + now + " with arguments:");
    config.dump(log);
    log.close();


    trainAndSaveModel(config);
    tim.done("Training POS tagger");
  }




  private static void printErrWordsPerSec(long milliSec, int numWords) {
    double wordsPerSec = numWords / (((double) milliSec) / 1000);

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    MulticoreWrapper<Tree, Pair<DeepTree, DeepTree>> wrapper = new MulticoreWrapper<Tree, Pair<DeepTree, DeepTree>>(op.trainOptions.trainingThreads, new ScoringProcessor());
    for (Tree tree : trainingBatch) {
      wrapper.put(tree);
    }
    wrapper.join();
    scoreTiming.done();
    while (wrapper.peek()) {
      Pair<DeepTree, DeepTree> result = wrapper.poll();
      DeepTree goldTree = result.first;
      DeepTree bestTree = result.second;

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    Tagger tagger = null;
    if (op.testOptions.preTag) {
      Timing retagTimer = new Timing();
      tagger = Tagger.loadModel(op.testOptions.taggerSerializedFile);
      redoTags(binarizedTrees, tagger, nThreads);
      retagTimer.done("Retagging");
    }


    Set<String> knownStates = findKnownStates(binarizedTrees);
    Set<String> rootStates = findRootStates(binarizedTrees);
    Set<String> rootOnlyStates = findRootOnlyStates(binarizedTrees, rootStates);

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    List<List<Transition>> transitionLists = CreateTransitionSequence.createTransitionSequences(binarizedTrees, op.compoundUnaries, rootStates, rootOnlyStates);
    Index<Transition> transitionIndex = new HashIndex<Transition>();
    for (List<Transition> transitions : transitionLists) {
      transitionIndex.addAll(transitions);
    }
    transitionTimer.done("Converting trees into transition lists");
    System.err.println("Number of transitions: " + transitionIndex.size());


    Random random = new Random(op.trainOptions.randomSeed);


    Treebank devTreebank = null;

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    ShiftReduceParser parser = null;
    try {
      Timing timing = new Timing();
      System.err.print("Loading parser from serialized file " + path + " ...");
      parser = IOUtils.readObjectFromURLOrClasspathOrFileSystem(path);
      timing.done();
    } catch (IOException e) {
      throw new RuntimeIOException(e);
    } catch (ClassNotFoundException e) {
      throw new RuntimeIOException(e);
    }

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      timer = new Timing();
      timer.doing("Loading POS Model [" + loc + ']');
    }
    MaxentTagger tagger = new MaxentTagger(loc);
    if (verbose) {
      timer.done();
    }
    return tagger;
  }


  @Override

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    ParserGrammar parser;
    try {
      Timing timing = new Timing();
      System.err.print("Loading parser from serialized file " + path + " ...");
      parser = IOUtils.readObjectFromURLOrClasspathOrFileSystem(path);
      timing.done();
    } catch (IOException e) {
      throw new RuntimeIOException(e);
    } catch (ClassNotFoundException e) {
      throw new RuntimeIOException(e);
    }

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