本文整理了Java中zemberek.core.logging.Log.debug()方法的一些代码示例，展示了Log.debug()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Log.debug()方法的具体详情如下：
包路径：zemberek.core.logging.Log
类名称：Log
方法名：debug

Log.debug介绍

暂无

代码示例

代码示例来源：origin: ahmetaa/zemberek-nlp

public synchronized void initializeStaticCache(Function<String, WordAnalysis> analysisProvider) {
 if (staticCacheDisabled || staticCacheInitialized) {
  return;
 }
 new Thread(() -> {
  try {
   Stopwatch stopwatch = Stopwatch.createStarted();
   List<String> words = TextIO.loadLinesFromResource(MOST_USED_WORDS_FILE);
   Log.debug("File read in %d ms.", stopwatch.elapsed(TimeUnit.MILLISECONDS));
   int size = Math.min(STATIC_CACHE_CAPACITY, words.size());
   for (int i = 0; i < size; i++) {
    String word = words.get(i);
    staticCache.put(word, analysisProvider.apply(word));
   }
   Log.debug("Static cache initialized with %d most frequent words", size);
   Log.debug("Initialization time: %d ms.", stopwatch.elapsed(TimeUnit.MILLISECONDS));
  } catch (IOException e) {
   Log.error("Could not read most frequent words list, static cache is disabled.");
   e.printStackTrace();
  }
 }).start();
 staticCacheInitialized = true;
}

代码示例来源：origin: ahmetaa/zemberek-nlp

Log.debug("Changing log base from " + DEFAULT_LOG_BASE + " to " + logBase);
changeLogBase(logBase);
this.stupidBackoffLogAlpha = (float) (Math.log(stupidBackoffAlpha) / Math.log(logBase));
Log.debug("Applying unigram smoothing with unigram weight: " + unigramWeight);
applyUnigramSmoothing(unigramWeight);
Log.debug("Lm will use stupid back off with alpha value: " + stupidBackoffAlpha);

代码示例来源：origin: ahmetaa/zemberek-nlp

cleanVocab.add(unknownWord);
vocabularyIndexMap.put(unknownWord, indexCounter++);
Log.debug("Necessary special token " + unknownWord
  + " was not found in the vocabulary, it is added explicitly");
cleanVocab.add(sentenceStart);
vocabularyIndexMap.put(sentenceStart, indexCounter++);
Log.debug("Vocabulary does not contain sentence start token, it is added explicitly.");
cleanVocab.add(sentenceEnd);
vocabularyIndexMap.put(sentenceEnd, indexCounter);
Log.debug("Vocabulary does not contain sentence end token, it is added explicitly.");

代码示例来源：origin: ahmetaa/zemberek-nlp

public static Quantizer getQuantizer(File file, int bitCount, QuantizerType quantizerType)
  throws IOException {
 BinaryFloatFileReader reader = new BinaryFloatFileReader(file);
 try (DataInputStream dis = reader.getStream()) {
  dis.skipBytes(4); // skip the count.
  LookupCalculator lookupCalc = new LookupCalculator(bitCount);
  for (int i = 0; i < reader.count; i++) {
   double d = dis.readFloat();
   lookupCalc.add(d);
   if (Log.isDebug() && i % 500000 == 0) {
    Log.debug("Values added to value histogram = %d", i);
   }
  }
  return lookupCalc.getQuantizer(quantizerType);
 }
}

代码示例来源：origin: ahmetaa/zemberek-nlp

for (int i = 0; i < splitter.pageCount; i++) {
 final ByteGramProvider keySegment = splitter.getKeySegment(i);
 Log.debug("Segment key count: " + keySegment.keyAmount());
 Log.debug("Segment bucket ratio: " + ((double) keySegment.keyAmount() / (1 << bucketBits)));
 total += keySegment.keyAmount();
 MultiLevelMphf mphf = MultiLevelMphf.generate(keySegment);
Log.debug("Total processed keys:" + total);
int maxMask = (1 << splitter.maxBit) - 1;
int bucketMask = (1 << bucketBits) - 1;

代码示例来源：origin: ahmetaa/zemberek-nlp

Log.debug("Failed key Count:%d " , failedKeyCount);