Java ReflectionLoading类代码示例

OGeek|极客世界-中国程序员成长平台 › 门户 › 编程› Java›Java编程经验

原作者: [db:作者] 来自: [db:来源] 收藏邀请

本文整理汇总了Java中edu.stanford.nlp.util.ReflectionLoading类的典型用法代码示例。如果您正苦于以下问题：Java ReflectionLoading类的具体用法？Java ReflectionLoading怎么用？Java ReflectionLoading使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

ReflectionLoading类属于edu.stanford.nlp.util包，在下文中一共展示了ReflectionLoading类的11个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Java代码示例。

示例1: initializeTraining

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
@Override
public void initializeTraining(double numTrees) {
  this.uwModelTrainer = 
    ReflectionLoading.loadByReflection(uwModelTrainerClass);
  uwModelTrainer.initializeTraining(op, this, wordIndex, tagIndex, 
                                    numTrees);
}

开发者ID:paulirwin，项目名称:Stanford.NER.Net，代码行数:8，代码来源:BaseLexicon.java

示例2: lex

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
/**
 * Returns a ChineseLexicon
 */
@Override
public Lexicon lex(Options op, Index<String> wordIndex, Index<String> tagIndex) {
  if (useCharacterBasedLexicon) {
    return lex = new ChineseCharacterBasedLexicon(this, wordIndex, tagIndex);
  // } else if (useMaxentLexicon) {
  // return lex = new ChineseMaxentLexicon();
  }
  if (op.lexOptions.uwModelTrainer == null) {
    op.lexOptions.uwModelTrainer = "edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer";
  }
  ChineseLexicon clex = new ChineseLexicon(op, this, wordIndex, tagIndex);
  if (segmenterClass != null) {
    try {
      segmenter = ReflectionLoading.loadByReflection(segmenterClass, this,
                                                     wordIndex, tagIndex);
    } catch (ReflectionLoading.ReflectionLoadingException e) {
      segmenter = ReflectionLoading.loadByReflection(segmenterClass);
    }
  }

  if (segmenter != null) {
    lex = new ChineseLexiconAndWordSegmenter(clex, segmenter);
    ctlp.setTokenizerFactory(WordSegmentingTokenizer.factory(segmenter));
  } else {
    lex = clex;
  }

  return lex;
}

开发者ID:paulirwin，项目名称:Stanford.NER.Net，代码行数:33，代码来源:ChineseTreebankParserParams.java

示例3: lex

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
/**
 * Returns a ChineseLexicon
 */
@Override
public Lexicon lex(Options op, Index<String> wordIndex, Index<String> tagIndex) {
  if (useCharacterBasedLexicon) {
    return lex = new ChineseCharacterBasedLexicon(this, wordIndex, tagIndex);
  // } else if (useMaxentLexicon) {
  // return lex = new ChineseMaxentLexicon();
  }
  if (op.lexOptions.uwModelTrainer == null) {
    op.lexOptions.uwModelTrainer = "edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer";
  }
  ChineseLexicon clex = new ChineseLexicon(op, this, wordIndex, tagIndex);
  if (segmenterClass != null) {
    try {
      segmenter = ReflectionLoading.loadByReflection(segmenterClass, this,
                                                     wordIndex, tagIndex);
    } catch (ReflectionLoading.ReflectionLoadingException e) {
      segmenter = ReflectionLoading.loadByReflection(segmenterClass);
    }
  }

  if (segmenter != null) {
    lex = new ChineseLexiconAndWordSegmenter(clex, segmenter);
  } else {
    lex = clex;
  }

  return lex;
}

开发者ID:benblamey，项目名称:stanford-nlp，代码行数:32，代码来源:ChineseTreebankParserParams.java

示例4: getParserFromTextFile

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
protected static LexicalizedParser getParserFromTextFile(String textFileOrUrl, Options op) {
  try {
    Timing tim = new Timing();
    System.err.print("Loading parser from text file " + textFileOrUrl + ' ');
    BufferedReader in = IOUtils.readerFromString(textFileOrUrl);
    Timing.startTime();

    String line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    op.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> stateIndex = HashIndex.loadFromReader(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> wordIndex = HashIndex.loadFromReader(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> tagIndex = HashIndex.loadFromReader(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Lexicon lex = op.tlpParams.lex(op, wordIndex, tagIndex);
    String uwmClazz = line.split(" +")[2];
    if (!uwmClazz.equals("null")) {
      UnknownWordModel model = ReflectionLoading.loadByReflection(uwmClazz, op, lex, wordIndex, tagIndex);
      lex.setUnknownWordModel(model);
    }
    lex.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    UnaryGrammar ug = new UnaryGrammar(stateIndex);
    ug.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    BinaryGrammar bg = new BinaryGrammar(stateIndex);
    bg.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    DependencyGrammar dg = new MLEDependencyGrammar(op.tlpParams, op.directional, op.distance, op.coarseDistance, op.trainOptions.basicCategoryTagsInDependencyGrammar, op, wordIndex, tagIndex);
    dg.readData(in);
    System.err.print(".");

    in.close();
    System.err.println(" done [" + tim.toSecondsString() + " sec].");
    return new LexicalizedParser(lex, bg, ug, dg, stateIndex, wordIndex, tagIndex, op);
  } catch (IOException e) {
    e.printStackTrace();
  }
  return null;
}

开发者ID:benblamey，项目名称:stanford-nlp，代码行数:65，代码来源:LexicalizedParser.java

示例5: init

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
void init(TaggerConfig config) {
  if (initted) return;  // TODO: why not reinit?

  this.config = config;

  String lang, arch;
  String[] openClassTags, closedClassTags;

  if (config == null) {
    lang = "english";
    arch = "left3words";
    openClassTags = StringUtils.EMPTY_STRING_ARRAY;
    closedClassTags = StringUtils.EMPTY_STRING_ARRAY;
    wordFunction = null;
  } else {
    this.VERBOSE = config.getVerbose();

    lang = config.getLang();
    arch = config.getArch();
    openClassTags = config.getOpenClassTags();
    closedClassTags = config.getClosedClassTags();
    if (!config.getWordFunction().equals("")) {
      wordFunction =
        ReflectionLoading.loadByReflection(config.getWordFunction());
    }

    if (((openClassTags.length > 0) && !lang.equals("")) || ((closedClassTags.length > 0) && !lang.equals("")) || ((closedClassTags.length > 0) && (openClassTags.length > 0))) {
      throw new RuntimeException("At least two of lang (\"" + lang + "\"), openClassTags (length " + openClassTags.length + ": " + Arrays.toString(openClassTags) + ")," +
          "and closedClassTags (length " + closedClassTags.length + ": " + Arrays.toString(closedClassTags) + ") specified---you must choose one!");
    } else if ((openClassTags.length == 0) && lang.equals("") && (closedClassTags.length == 0) && ! config.getLearnClosedClassTags()) {
      System.err.println("warning: no language set, no open-class tags specified, and no closed-class tags specified; assuming ALL tags are open class tags");
    }
  }

  if (openClassTags.length > 0) {
    tags = new TTags();
    tags.setOpenClassTags(openClassTags);
  } else if (closedClassTags.length > 0) {
    tags = new TTags();
    tags.setClosedClassTags(closedClassTags);
  } else {
    tags = new TTags(lang);
  }

  defaultScore = lang.equals("english") ? 1.0 : 0.0;

  if (config != null) {
    rareWordThresh = config.getRareWordThresh();
    minFeatureThresh = config.getMinFeatureThresh();
    curWordMinFeatureThresh = config.getCurWordMinFeatureThresh();
    rareWordMinFeatureThresh = config.getRareWordMinFeatureThresh();
    veryCommonWordThresh = config.getVeryCommonWordThresh();
    occurringTagsOnly = config.occurringTagsOnly();
    possibleTagsOnly = config.possibleTagsOnly();
    // System.err.println("occurringTagsOnly: "+occurringTagsOnly);
    // System.err.println("possibleTagsOnly: "+possibleTagsOnly);

    if(config.getDefaultScore() >= 0)
      defaultScore = config.getDefaultScore();
  }

  if (config == null || config.getMode() == TaggerConfig.Mode.TRAIN) {
    // initialize the extractors based on the arch variable
    // you only need to do this when training; otherwise they will be
    // restored from the serialized file
    extractors = new Extractors(ExtractorFrames.getExtractorFrames(arch));
    extractorsRare = new Extractors(ExtractorFramesRare.getExtractorFramesRare(arch, tags));

    setExtractorsGlobal();
  }

  ambClasses = new AmbiguityClasses(tags);

  initted = true;
}

开发者ID:benblamey，项目名称:stanford-nlp，代码行数:76，代码来源:MaxentTagger.java

示例6: ParserAnnotator

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
public ParserAnnotator(String annotatorName, Properties props) {
  String model = props.getProperty(annotatorName + ".model", LexicalizedParser.DEFAULT_PARSER_LOC);
  if (model == null) {
    throw new IllegalArgumentException("No model specified for " +
                                       "Parser annotator " +
                                       annotatorName);
  }
  this.VERBOSE = PropertiesUtils.getBool(props, annotatorName + ".debug", false);

  // will use DEFAULT_FLAGS if the flags are not set in the properties
  String[] flags = convertFlagsToArray(props.getProperty(annotatorName + ".flags"));
  this.parser = loadModel(model, VERBOSE, flags);
  this.maxSentenceLength = PropertiesUtils.getInt(props, annotatorName + ".maxlen", -1);

  String treeMapClass = props.getProperty(annotatorName + ".treemap");
  if (treeMapClass == null) {
    this.treeMap = null;
  } else {
    this.treeMap = ReflectionLoading.loadByReflection(treeMapClass, props);
  }

  this.maxParseTime = PropertiesUtils.getLong(props, annotatorName + ".maxtime", 0);

  String buildGraphsProperty = annotatorName + ".buildgraphs";
  if (!this.parser.getTLPParams().supportsBasicDependencies()) {
    if (props.getProperty(buildGraphsProperty) != null && PropertiesUtils.getBool(props, buildGraphsProperty)) {
      System.err.println("WARNING: " + buildGraphsProperty + " set to true, but " + this.parser.getTLPParams().getClass() + " does not support dependencies");
    }
    this.BUILD_GRAPHS = false;
  } else {
    this.BUILD_GRAPHS = PropertiesUtils.getBool(props, buildGraphsProperty, true);
  }

  if (this.BUILD_GRAPHS) {
    TreebankLanguagePack tlp = parser.getTLPParams().treebankLanguagePack();
    this.gsf = tlp.grammaticalStructureFactory(tlp.punctuationWordRejectFilter(), tlp.typedDependencyHeadFinder());
  } else {
    this.gsf = null;
  }

  this.nThreads = PropertiesUtils.getInt(props, annotatorName + ".nthreads", PropertiesUtils.getInt(props, "nthreads", 1));
}

开发者ID:benblamey，项目名称:stanford-nlp，代码行数:43，代码来源:ParserAnnotator.java

示例7: init

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
void init(TaggerConfig config) {
  if (initted) return;  // TODO: why not reinit?

  this.config = config;

  String lang, arch;
  String[] openClassTags, closedClassTags;

  if (config == null) {
    lang = "english";
    arch = "left3words";
    openClassTags = StringUtils.EMPTY_STRING_ARRAY;
    closedClassTags = StringUtils.EMPTY_STRING_ARRAY;
    wordFunction = null;
  } else {
    this.VERBOSE = config.getVerbose();

    lang = config.getLang();
    arch = config.getArch();
    openClassTags = config.getOpenClassTags();
    closedClassTags = config.getClosedClassTags();
    if (!config.getWordFunction().equals("")) {
      wordFunction =
        ReflectionLoading.loadByReflection(config.getWordFunction());
    }

    if (((openClassTags.length > 0) && !lang.equals("")) || ((closedClassTags.length > 0) && !lang.equals("")) || ((closedClassTags.length > 0) && (openClassTags.length > 0))) {
      throw new RuntimeException("At least two of lang (\"" + lang + "\"), openClassTags (length " + openClassTags.length + ": " + Arrays.toString(openClassTags) + ")," +
          "and closedClassTags (length " + closedClassTags.length + ": " + Arrays.toString(closedClassTags) + ") specified---you must choose one!");
    } else if ((openClassTags.length == 0) && lang.equals("") && (closedClassTags.length == 0) && ! config.getLearnClosedClassTags()) {
      System.err.println("warning: no language set, no open-class tags specified, and no closed-class tags specified; assuming ALL tags are open class tags");
    }
  }

  if (openClassTags.length > 0) {
    tags = new TTags();
    tags.setOpenClassTags(openClassTags);
  } else if (closedClassTags.length > 0) {
    tags = new TTags();
    tags.setClosedClassTags(closedClassTags);
  } else {
    tags = new TTags(lang);
  }

  defaultScore = lang.equals("english") ? 1.0 : 0.0;

  if (config != null) {
    rareWordThresh = config.getRareWordThresh();
    minFeatureThresh = config.getMinFeatureThresh();
    curWordMinFeatureThresh = config.getCurWordMinFeatureThresh();
    rareWordMinFeatureThresh = config.getRareWordMinFeatureThresh();
    veryCommonWordThresh = config.getVeryCommonWordThresh();
    occurringTagsOnly = config.occurringTagsOnly();
    possibleTagsOnly = config.possibleTagsOnly();
    // System.err.println("occurringTagsOnly: "+occurringTagsOnly);
    // System.err.println("possibleTagsOnly: "+possibleTagsOnly);

    if(config.getDefaultScore() >= 0)
      defaultScore = config.getDefaultScore();
  }

  // just in case, reset the defaultScores array so it will be
  // recached later when needed.  can't initialize it now in case we
  // don't know ysize yet
  defaultScores = null;

  if (config == null || config.getMode() == TaggerConfig.Mode.TRAIN) {
    // initialize the extractors based on the arch variable
    // you only need to do this when training; otherwise they will be
    // restored from the serialized file
    extractors = new Extractors(ExtractorFrames.getExtractorFrames(arch));
    extractorsRare = new Extractors(ExtractorFramesRare.getExtractorFramesRare(arch, tags));

    setExtractorsGlobal();
  }

  ambClasses = new AmbiguityClasses(tags);

  initted = true;
}

开发者ID:jaimeguzman，项目名称:data_mining，代码行数:81，代码来源:MaxentTagger.java

示例8: getParserFromTextFile

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
protected static LexicalizedParser getParserFromTextFile(String textFileOrUrl, Options op) {
  try {
    Timing tim = new Timing();
    System.err.print("Loading parser from text file " + textFileOrUrl + ' ');
    BufferedReader in = IOUtils.readReaderFromString(textFileOrUrl);
    Timing.startTime();

    String line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    op.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> stateIndex = HashIndex.loadFromReader(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> wordIndex = HashIndex.loadFromReader(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> tagIndex = HashIndex.loadFromReader(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Lexicon lex = op.tlpParams.lex(op, wordIndex, tagIndex);
    String uwmClazz = line.split(" +")[2];
    if (!uwmClazz.equals("null")) {
      UnknownWordModel model = ReflectionLoading.loadByReflection(uwmClazz, op, lex, wordIndex, tagIndex);
      lex.setUnknownWordModel(model);
    }
    lex.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    UnaryGrammar ug = new UnaryGrammar(stateIndex);
    ug.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    BinaryGrammar bg = new BinaryGrammar(stateIndex);
    bg.readData(in);
    System.err.print(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    DependencyGrammar dg = new MLEDependencyGrammar(op.tlpParams, op.directional, op.distance, op.coarseDistance, op.trainOptions.basicCategoryTagsInDependencyGrammar, op, wordIndex, tagIndex);
    dg.readData(in);
    System.err.print(".");

    in.close();
    System.err.println(" done [" + tim.toSecondsString() + " sec].");
    return new LexicalizedParser(lex, bg, ug, dg, stateIndex, wordIndex, tagIndex, op);
  } catch (IOException e) {
    e.printStackTrace();
  }
  return null;
}

开发者ID:amark-india，项目名称:eventspotter，代码行数:65，代码来源:LexicalizedParser.java

示例9: getParserFromTextFile

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
protected static LexicalizedParser getParserFromTextFile(String textFileOrUrl, Options op) {
  try {
    Timing tim = new Timing();
    logger.trace("Loading parser from text file " + textFileOrUrl + ' ');
    BufferedReader in = IOUtils.readReaderFromString(textFileOrUrl);
    Timing.startTime();

    String line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    op.readData(in);
    logger.trace(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> stateIndex = HashIndex.loadFromReader(in);
    logger.trace(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> wordIndex = HashIndex.loadFromReader(in);
    logger.trace(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Index<String> tagIndex = HashIndex.loadFromReader(in);
    logger.trace(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    Lexicon lex = op.tlpParams.lex(op, wordIndex, tagIndex);
    String uwmClazz = line.split(" +")[2];
    if (!uwmClazz.equals("null")) {
      UnknownWordModel model = ReflectionLoading.loadByReflection(uwmClazz, op, lex, wordIndex, tagIndex);
      lex.setUnknownWordModel(model);
    }
    lex.readData(in);
    logger.trace(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    UnaryGrammar ug = new UnaryGrammar(stateIndex);
    ug.readData(in);
    logger.trace(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    BinaryGrammar bg = new BinaryGrammar(stateIndex);
    bg.readData(in);
    logger.trace(".");

    line = in.readLine();
    confirmBeginBlock(textFileOrUrl, line);
    DependencyGrammar dg = new MLEDependencyGrammar(op.tlpParams, op.directional, op.distance, op.coarseDistance, op.trainOptions.basicCategoryTagsInDependencyGrammar, op, wordIndex, tagIndex);
    dg.readData(in);
    logger.trace(".");

    in.close();
    logger.trace(" done [" + tim.toSecondsString() + " sec].");
    return new LexicalizedParser(lex, bg, ug, dg, stateIndex, wordIndex, tagIndex, op);
  } catch (IOException e) {
    e.printStackTrace();
  }
  return null;
}

开发者ID:chbrown，项目名称:stanford-parser，代码行数:65，代码来源:LexicalizedParser.java

示例10: solveL1

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
/**
 * Solves the problem using OWLQN.  The solution is stored in the
 * <code>lambda</code> array of <code>prob</code>.  Note that the
 * likelihood function will be a penalized L2 likelihood function unless you
 * have turned this off via setting the priorSigmaS to 0.0.
 *
 * @param weight Controls the sparseness/regularization of the L1 solution.
 *     The bigger the number the sparser the solution.  Weights between
 *     0.01 and 1.0 typically give good performance.
 */
public void solveL1(double weight) {
  LikelihoodFunction df = new LikelihoodFunction(prob, tol, useGaussianPrior, priorSigmaS, sigmaSquareds);
  Minimizer<DiffFunction> owl = ReflectionLoading.loadByReflection("edu.stanford.nlp.optimization.OWLQNMinimizer", weight);
  double[] result = owl.minimize(df, tol, new double[df.domainDimension()]);
  prob.lambda = result;
  System.err.println("after optimization value is " + df.valueAt(result));
}

开发者ID:benblamey，项目名称:stanford-nlp，代码行数:18，代码来源:CGRunner.java

示例11: solveL1

import edu.stanford.nlp.util.ReflectionLoading; //导入依赖的package包/类
/**
 * Solves the problem using OWLQN.  The solution
 * is stored in the {@code lambda} array of {@code prob}.  Note that the
 * likelihood function will be a penalized L2 likelihood function unless you
 * have turned this off via setting the priorSigmaS to 0.0.
 *
 * @param weight Controls the sparseness/regularization of the L1 solution.
 *     The bigger the number the sparser the solution.  Weights between
 *     0.01 and 1.0 typically give good performance.
 */
public void solveL1(double weight) {
  LikelihoodFunction df = new LikelihoodFunction(prob, tol, useGaussianPrior, priorSigmaS, sigmaSquareds);
  Minimizer<DiffFunction> owl = ReflectionLoading.loadByReflection("edu.stanford.nlp.optimization.OWLQNMinimizer", weight);
  prob.lambda = owl.minimize(df, tol, new double[df.domainDimension()]);
  printOptimizationResults(df, null);
}

开发者ID:jaimeguzman，项目名称:data_mining，代码行数:17，代码来源:CGRunner.java

注：本文中的edu.stanford.nlp.util.ReflectionLoading类示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

鲜花

握手

雷人

路过

鸡蛋

该文章已有0人参与评论

请发表评论

全部评论

专题导读

More+

10-27 六六分期app的软件客服如何联系？(六六分期

11-06 可心卡盟:win10系统火狐flash插件崩溃怎么

11-06 亲亲特价:怎么删除回收站图标

11-06 济南大学虚拟社区:鲁大师节能降温的具体办

11-06 xlueops.exe:无线网络安装向导

11-06 女斗合众国:win7系统cf与主机连接不稳定怎

11-06 0xc000022-[cf烟雾头]cf怎么调烟雾头

11-06 qizideyouhuo:应用程序无法正常启动0xc0000

11-06 ipz-185:win7系统vcf文件怎么打开

11-06 傻哥蹦迪:win10系统s4怎么打开usb调试

11-06 八神浩树gtaste:回收站清空了怎么恢复

11-06 妖尾之黑色守护:win10系统电脑没有1440x900

11-06 校园至尊魔王小说:win7系统浏览网页时字体

11-06 女斗合众国:win10系统访问共享文件夹提示请

11-06 tokyo hot n0654:恢复win7系统默认字体一招

11-06 雨酷仙境:设置win7系统转移临时文件夹腾出

11-06 阿穆纳伊之杖:win7系统开始菜单在右边还原

11-06 tunespotting:win10系统火狐flash插件总是

11-06 甘尔葛分析师：计谋网站seo关键词暴涨有什

11-06 蔡贵霖: 计谋网站seo关键词暴涨有什么秘密

11-06 博益网首页:ao3网页版进入不了解决方法

11-06 漏斗子专栏: 网站数据分析小白易懂精华篇

11-06 见证双虹怎么做:win7系统开启telnet命令的

11-06 颾狐蝶蜋:系统资源不足无法完成请求的服务

11-06 国光中学校歌:提交网站到alexa查询详细步骤

11-06 西安有情天:静态网页和动态网页的区别

11-06 红木雅尚斋:外部链接构造对网站的好处

11-06 前官礼遇：防止域名劫持–增强域安全性的10

11-06 密传二转答案: 中文分词算法有哪些

11-06 金泉家园邮编:百度快照劫持的表现及应对方

Java EntityMinecartHopper类代码示例发布时间：2022-05-22

Java RVRendererAdapter类代码示例发布时间：2022-05-22

剪的笔顺,诠释剪的笔画,认识剪的部首

1 六六分期app的软件客服如何联系？(六六分期

六六分期app的软件客服如何联系？不知道吗？加qq群【895510560】即可！标题：六六分期

阅读：18285|2023-10-27

2 可心卡盟:win10系统火狐flash插件崩溃怎么

今天小编告诉大家如何处理win10系统火狐flash插件总是崩溃的问题，可能很多用户都不知

阅读：9681|2022-11-06

3 亲亲特价:怎么删除回收站图标

今天小编告诉大家如何对win10系统删除桌面回收站图标进行设置，可能很多用户都不知道

阅读：8180|2022-11-06

4 济南大学虚拟社区:鲁大师节能降温的具体办

今天小编告诉大家如何对win10系统电脑设置节能降温的设置方法，想必大家都遇到过需要

阅读：8551|2022-11-06

5 xlueops.exe:无线网络安装向导

我们在使用xp系统的过程中,经常需要对xp系统无线网络安装向导设置进行设置，可能很多

阅读：8458|2022-11-06

6 女斗合众国:win7系统cf与主机连接不稳定怎

今天小编告诉大家如何处理win7系统玩cf老是与主机连接不稳定的问题，可能很多用户都不

阅读：9395|2022-11-06

7 0xc000022-[cf烟雾头]cf怎么调烟雾头

电脑对日常生活的重要性小编就不多说了，可是一旦碰到win7系统设置cf烟雾头的问题，很

阅读：8431|2022-11-06

8 qizideyouhuo:应用程序无法正常启动0xc0000

我们在日常使用电脑的时候，有的小伙伴们可能在打开应用的时候会遇见提示应用程序无法

阅读：7865|2022-11-06

9 ipz-185:win7系统vcf文件怎么打开

今天小编告诉大家如何对win7系统打开vcf文件进行设置，可能很多用户都不知道怎么对win

阅读：8416|2022-11-06

10 傻哥蹦迪:win10系统s4怎么打开usb调试

今天小编告诉大家如何对win10系统s4开启USB调试模式进行设置，可能很多用户都不知道怎

阅读：7394|2022-11-06

客服电话

电子邮件

Java ReflectionLoading类代码示例

示例1: initializeTraining

示例2: lex

示例3: lex

示例4: getParserFromTextFile

示例5: init

示例6: ParserAnnotator

示例7: init

示例8: getParserFromTextFile

示例9: getParserFromTextFile

示例10: solveL1

示例11: solveL1

请发表评论

全部评论

上一篇：

下一篇：

小程序接入指南

librespeed/speedtest: Self-hosted Speedt

avehtari/BDA_m_demos: Bayesian Data Anal

四维彩超怎么看性别？四维看男孩女孩诀窍

medfreeman/markdown-it-toc-and-anchor: m

剪的笔顺,诠释剪的笔画,认识剪的部首

六六分期app的软件客服如何联系？(六六分期

florent37/ViewAnimator: A fluent Android

florent37/Shrine-MaterialDesign2: implem

CVE-2020-36276

SimpleSoftwareIO/simple-sms: Send and re

关于我们

产品与服务

解决方案

139-2527-9053