Examples of edu.umd.cloud9.util.map.HMapIS$HashIterator

edu.umd.cloud9.io.map.HMapIFW
Hash-based implementation of the MapIS interface. {@link MapIS} isa specialized variant the standard Java {@link Map} interface, except thatthe keys are hard coded as ints and values are hard coded as shorts for efficiency reasons. This implementation was adapted from {@link HashMap}version 1.73, 03/13/07. See this benchmark for an efficiency comparison.

          "-output_path=" + indexRootPath + "/wiki-docid-tmp",
          "-output_file=" + mappingFile.toString(),
          "-wiki_language=" + 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);
    } else {
      LOG.info("Docno mapping already exists at: " + mappingFile);
    }


    // Repack Wikipedia into sequential compressed block
    if (!fs.exists(new Path(seqCollection + "/part-00000"))) {
      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);
    } else {
      LOG.info("Repacked collection already exists at: " + seqCollection);      
    }


    conf.set(Constants.CollectionName, "Wikipedia-"+collectionLang);

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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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    // Repack Wikipedia into sequential compressed block
    p = new Path(seqCollection);
    if (!fs.exists(p)) {
      LOG.info(seqCollection + " doesn't exist, creating...");
      String[] arr = new String[] { rawCollection, seqCollection, mappingFile.toString(), "block"};
      RepackWikipedia tool = new RepackWikipedia();
      tool.setConf(conf);
      tool.run(arr);
    }


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

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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);
    } else {
      LOG.info("Repacked collection already exists at: " + seqCollection);      
    }


    conf.set(Constants.CollectionName, "Wikipedia-"+collectionLang);

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        if (fileStats[i].getPath().getName().startsWith("_")) {
          continue;
        }


        LOG.info("processing " + fileStats[i].getPath());
        FSLineReader reader = new FSLineReader(fileStats[i].getPath(), fs);


        Text line = new Text();
        while (reader.readLine(line) > 0) {
          String[] arr = line.toString().split("\\t+", 2);


          int docno = Integer.parseInt(arr[0]);
          int len = Integer.parseInt(arr[1]);


          // Note that because of speculative execution there may be
          // multiple copies of doclength data. Therefore, we can't
          // just count number of doclengths read. Instead, keep track
          // of largest docno encountered.
          if (docno < docnoOffset) {
            throw new RuntimeException(
                "Error: docno " + docno + " < docnoOffset " + docnoOffset + "!");
          }


          doclengths[docno - docnoOffset] = len;


          if (docno > maxDocno) {
            maxDocno = docno;
          }
          if (docno < minDocno) {
            minDocno = docno;
          }
        }
        reader.close();
        context.getCounter(DocLengths.Files).increment(1);
      }


      LOG.info("min docno: " + minDocno);
      LOG.info("max docno: " + maxDocno);

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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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    Configuration conf = IntegrationUtils.getBespinConfiguration();
    FileSystem fs = FileSystem.get(conf);


    SequenceFile.Reader reader;
    IntWritable key = new IntWritable();
    HMapIFW map = new HMapIFW();
    WeightedIntDocVector value = new WeightedIntDocVector();


    reader = new SequenceFile.Reader(fs.getConf(),
        SequenceFile.Reader.file(new Path(enwikiEn + "/test_wt-int-doc-vectors/part-00000")));


    reader.next(key, value);
    System.out.println("*** top 10 terms ***");
    map = value.getWeightedTerms();
    for ( MapIF.Entry entry : map.getEntriesSortedByValue(10)) {
      System.out.println(entry.getKey() + ": " + entry.getValue());
    }
    verifyIntDocVector(enIntDocVector1, value);


    reader.next(key, value);
    System.out.println("*** top 10 terms ***");
    map = value.getWeightedTerms();
    for ( MapIF.Entry entry : map.getEntriesSortedByValue(10)) {
      System.out.println(entry.getKey() + ": " + entry.getValue());
    }
    verifyIntDocVector(enIntDocVector2, value);
    reader.close();
  }

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