Examples of edu.umd.cloud9.io.pair.PairOfInts

edu.umd.cloud9.io.map.HMapSFW
WritableComparable representing a pair of ints. The elements in the pair are referred to as the left and right elements. The natural sort order is: first by the left element, and then by the right element. @author Jimmy Lin

  public DocnoMapping getDocnoMapping() throws IOException {
    return loadDocnoMapping(indexPath, fs);
  }


  public static DocnoMapping loadDocnoMapping(String indexPath, FileSystem fs) throws IOException {
    DocnoMapping mDocMapping = null;
    // load the docid to docno mappings
    try {
      LOG.info("Loading DocnoMapping file...");
      RetrievalEnvironment env = new RetrievalEnvironment(indexPath, fs);


      String className = env.readDocnoMappingClass();
      LOG.info(" - Class name: " + className);
      mDocMapping = (DocnoMapping) Class.forName(className).newInstance();


      Path mappingFile = env.getDocnoMappingData();
      LOG.info(" - File name: " + mappingFile);
      mDocMapping.loadMapping(mappingFile, fs);
      LOG.info("Done!");
    } catch (Exception e) {
      throw new IOException("Error initializing DocnoMapping!");
    }
    return mDocMapping;

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      return -1;
    }


    RetrievalEnvironment env = new RetrievalEnvironment(indexPath, fs);
    Path mappingFile = env.getDocnoMappingData();
    new ClueWarcDocnoMappingBuilder().build(new Path(collection), mappingFile, conf);


    conf.set(Constants.CollectionName, "ClueWeb:English:Segment" + segment);
    conf.set(Constants.CollectionPath, collection);
    conf.set(Constants.IndexPath, indexPath);
    conf.set(Constants.InputFormat, SequenceFileInputFormat.class.getCanonicalName());

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          "-output_path=" + indexRootPath + "/wiki-docid-tmp",
          "-output_file=" + mappingFile.toString(),
          "-lang=" + collectionLang };
      LOG.info("Running BuildWikipediaDocnoMapping with args " + Arrays.toString(arr));


      BuildWikipediaDocnoMapping tool = new BuildWikipediaDocnoMapping();
      tool.setConf(conf);
      tool.run(arr);


      fs.delete(new Path(indexRootPath + "/wiki-docid-tmp"), true);
    }


    // Repack Wikipedia into sequential compressed block
    p = new Path(seqCollection);
    LOG.info(seqCollection + " doesn't exist, creating...");
    String[] arr = new String[] { "-input=" + rawCollection,
        "-output=" + seqCollection,
        "-mapping_file=" + mappingFile.toString(),
        "-compression_type=block",
        "-wiki_language=" + collectionLang };
    LOG.info("Running RepackWikipedia with args " + Arrays.toString(arr));


    RepackWikipedia tool = new RepackWikipedia();
    tool.setConf(conf);
    tool.run(arr);


    conf.set(Constants.CollectionName, "Wikipedia-"+collectionLang);
    conf.setInt(Constants.NumMapTasks, numMappers);
    conf.setInt(Constants.NumReduceTasks, numReducers);
    conf.set(Constants.CollectionPath, seqCollection);

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        "-mapping_file=" + mappingFile.toString(),
        "-compression_type=block",
        "-wiki_language=" + collectionLang };
    LOG.info("Running RepackWikipedia with args " + Arrays.toString(arr));


    RepackWikipedia tool = new RepackWikipedia();
    tool.setConf(conf);
    tool.run(arr);


    conf.set(Constants.CollectionName, "Wikipedia-"+collectionLang);
    conf.setInt(Constants.NumMapTasks, numMappers);
    conf.setInt(Constants.NumReduceTasks, numReducers);
    conf.set(Constants.CollectionPath, seqCollection);

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   *     FileSystem object
   * @return
   *     mapping from term ids to df values
   */
  public static HMapIFW readTransDfTable(Path path, FileSystem fs) {
    HMapIFW transDfTable = new HMapIFW();
    try {
      SequenceFile.Reader reader = new SequenceFile.Reader(fs, path, fs.getConf());


      IntWritable key = (IntWritable) reader.getKeyClass().newInstance();
      FloatWritable value = (FloatWritable) reader.getValueClass().newInstance();


      while (reader.next(key, value)) {
        transDfTable.put(key.get(), value.get());
        //        logger.info(key.get()+"-->"+value.get());
        key = (IntWritable) reader.getKeyClass().newInstance();
        value = (FloatWritable) reader.getValueClass().newInstance();
      }
      reader.close();

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   *     ttable E-->F (i.e., Pr(f|e))
   * @return
   *     mapping from E-terms to their computed df values
   */
  public static HMapIFW translateDFTable(Vocab eVocabSrc, Vocab fVocabTrg, TTable_monolithic_IFAs e2f_probs, FrequencySortedDictionary dict, DfTableArray dfTable){
    HMapIFW transDfTable = new HMapIFW();
    for(int e=1;e<eVocabSrc.size();e++){
      int[] fS = e2f_probs.get(e).getTranslations(0.0f);
      float df=0;
      for(int f : fS){
        float probEF = e2f_probs.get(e, f);
        String fTerm = fVocabTrg.get(f);
        int id = dict.getId(fTerm); 
        if(id != -1){
          float df_f = dfTable.getDf(id);        
          df += (probEF*df_f);
        }else{
          logger.debug(fTerm+" not in dict");
        }
      }
      transDfTable.put(e, df);
    }
    return transDfTable;
  }

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   *     mapping from F-terms to their df values
   * @return
   *     mapping from E-terms to their computed df values
   */
  public static HMapIFW translateDFTable(Vocab eVocabSrc, Vocab fVocabTrg, TTable_monolithic_IFAs e2f_probs, HMapSIW dfs){
    HMapIFW transDfTable = new HMapIFW();
    for(int e=1;e<eVocabSrc.size();e++){
      int[] fS = null;
      try {
        fS = e2f_probs.get(e).getTranslations(0.0f);
      } catch (Exception e1) {
        e1.printStackTrace();
      }
      float df=0;
      for(int f : fS){
        float probEF = e2f_probs.get(e, f);
        String fTerm = fVocabTrg.get(f);
        if(!dfs.containsKey(fTerm)){  //only if word is in the collection, can it contribute to the df values.
          continue;
        }      
        float df_f = dfs.get(fTerm);
        df+=(probEF*df_f);
      }
      transDfTable.put(e, df);
    }
    return transDfTable;
  }

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        if (e1.getDocno() < mBlockStart)
          continue;
        if (e1.getDocno() >= mBlockEnd)
          break;


        HMapIFW map = new HMapIFW();


        sLogger.debug(key + ": " + e1);


        PostingsReader reader2 = postings.getPostingsReader();


        while (reader2.nextPosting(e2)) {


          sLogger.debug(key + ": " + e1 + ", " + e2);


          if (e1.getDocno() == e2.getDocno())
            continue;


          // compute partial score of similarity for a pair of
          // documents
          float weight = mModel.computeScore(e1.getScore(), e2.getScore(),
              mDocLengthTable.getDocLength(e1.getDocno()), mDocLengthTable
                  .getDocLength(e2.getDocno()));


          map.put(e2.getDocno(), weight);
        }
        output.collect(new IntWritable(e1.getDocno()), map);
      }
    }

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      // add token translations into a #combine of #weight array structures
      JsonArray tokensArr = new JsonArray();
      if (tokenWeight > 0) {
        for (String srcToken : stemmedSourceTokens) {
          HMapSFW nbestDist = translation.getDistributionOf(srcToken);


          if (defaultTokenizer.isStopWord(srcToken)){
            continue;
          }
          LOG.info("Processing "+srcToken);


          // combine translations from N-best AND bilingual dictionary
          List<PairOfFloatMap> tokenRepresentationList = new ArrayList<PairOfFloatMap>();


          // Pr{bitext}
          if (bitextWeight > 0) {
            HMapSFW bitextDist = clGenerator.getTranslations(origQuery.trim(), srcToken, pairsInGrammar, stemmed2Stemmed);
            if(bitextDist != null && !bitextDist.isEmpty()){
              tokenRepresentationList.add(new PairOfFloatMap(bitextDist, bitextWeight));
            }
          }


          // Pr{scfg}
          if (scfgWeight > 0) {
            HMapSFW scfgDist = scfgGenerator.getTranslations(origQuery.trim(), srcToken, probMap, stemmed2Stemmed);
            if (scfgDist != null && !scfgDist.isEmpty() ){
              tokenRepresentationList.add(new PairOfFloatMap(scfgDist, scfgWeight));
            }
          }


          // Pr{n-best}
          if (mtWeight > 0 && nbestDist != null && !nbestDist.isEmpty()) {
            Utils.normalize(nbestDist);
            tokenRepresentationList.add(new PairOfFloatMap(nbestDist, mtWeight));
          }


          JsonArray combinedArr;
          float scale = 1;
          if (scaling) {
            scale = scale * translation.getSourceTokenCnt().get(srcToken) / ((float)translation.getCount());
          }
          if(tokenRepresentationList.size() == 0) {
            continue;       // if empty distr., do not represent this source token in query
          } else if(tokenRepresentationList.size() == 1) {
            combinedArr = Utils.createJsonArrayFromProbabilities(Utils.scaleProbMap(lexProbThreshold, scale, tokenRepresentationList.get(0).getMap()));
          } else {
            combinedArr = Utils.createJsonArrayFromProbabilities(Utils.combineProbMaps(lexProbThreshold, scale, tokenRepresentationList));
          }


          JsonObject tokenWeightedArr = new JsonObject();          
          tokenWeightedArr.add("#weight", combinedArr);


          // optional: if this source token has occurred more than once per query, reflect this in the representation
          //  for (int i = 0; i < Math.ceil(tokenCount.get(srcToken)/(float)kBest); i++) {
          //    tokensArr.put(tokenWeightedArr);
          //  }
          tokensArr.add(tokenWeightedArr);
        }
        queryTJson.add("#combine", tokensArr);
      }


      // combine the token-based and phrase-based representations into a #combweight structure
      JsonArray queryJsonArr = new JsonArray();


      HMapSFW scaledPhrase2Weight = null;
      if (phraseWeight > 0) {
        scaledPhrase2Weight = Utils.scaleProbMap(lexProbThreshold, phraseWeight, translation.getPhraseDist());      
        for (String phrase : scaledPhrase2Weight.keySet()) {
          queryJsonArr.add(new JsonPrimitive(scaledPhrase2Weight.get(phrase)));
          queryJsonArr.add(new JsonPrimitive(phrase));
        }
      }
      if (tokenWeight > 0) {
        queryJsonArr.add(new JsonPrimitive(tokenWeight));

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    }   
    return probMap;
  }


  private String getBestTranslation(String query, String token) {
    HMapSFW probDist = query2probMap.get(query).get(token);


    if(probDist == null){
      return token;
    }


    float maxProb = 0f;
    String maxProbTrans = null;
    for (edu.umd.cloud9.util.map.MapKF.Entry<String> entry : probDist.entrySet()) {
      if (entry.getValue() > maxProb) {
        maxProb = entry.getValue();
        maxProbTrans = entry.getKey();
      }
    }

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