List of adjustOrPutValue() Examples

Examples of adjustOrPutValue()

gnu.trove.TIntIntHashMap.adjustOrPutValue()
Adjusts the primitive value mapped to the key if the key is present in the map. Otherwise, the initial_value is put in the map. @param key the key of the value to increment @param adjust_amount the amount to adjust the value by @param put_amount the value put into the map if the key is not initial present @return the value present in the map after the adjustment or put operation @since 2.0b1
gnu.trove.map.TDoubleDoubleMap.adjustOrPutValue()
Adjusts the primitive value mapped to the key if the key is present in the map. Otherwise, the initial_value is put in the map. @param key the key of the value to increment @param adjust_amount the amount to adjust the value by @param put_amount the value put into the map if the key is not initial present @return the value present in the map after the adjustment or put operation
gnu.trove.map.TIntLongMap.adjustOrPutValue()
Adjusts the primitive value mapped to the key if the key is present in the map. Otherwise, the initial_value is put in the map. @param key the key of the value to increment @param adjust_amount the amount to adjust the value by @param put_amount the value put into the map if the key is not initial present @return the value present in the map after the adjustment or put operation
gnu.trove.map.hash.TDoubleDoubleHashMap.adjustOrPutValue()
{@inheritDoc}
gnu.trove.map.hash.TIntFloatHashMap.adjustOrPutValue()
{@inheritDoc}
gnu.trove.map.hash.TIntIntHashMap.adjustOrPutValue()
{@inheritDoc}
gnu.trove.map.hash.TObjectDoubleHashMap.adjustOrPutValue()
{@inheritDoc}
org.elasticsearch.common.trove.map.hash.TByteIntHashMap.adjustOrPutValue()
org.elasticsearch.common.trove.map.hash.TDoubleIntHashMap.adjustOrPutValue()
org.elasticsearch.common.trove.map.hash.TFloatIntHashMap.adjustOrPutValue()
org.elasticsearch.common.trove.map.hash.TIntIntHashMap.adjustOrPutValue()
org.elasticsearch.common.trove.map.hash.TLongIntHashMap.adjustOrPutValue()
org.elasticsearch.common.trove.map.hash.TLongLongHashMap.adjustOrPutValue()
org.elasticsearch.common.trove.map.hash.TShortIntHashMap.adjustOrPutValue()

Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

      // Sample a topic assignment from this distribution
      newTopic = random.nextDiscrete (topicWeights, topicWeightsSum);


      // Put that new topic into the counts
      oneDocTopics[si] = newTopic;
      currentTypeTopicCounts.adjustOrPutValue(newTopic, 1, 1);
      localTopicCounts[newTopic] ++;
      tokensPerTopic[newTopic]++;
    }
  }

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Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

      // Sample a topic assignment from this distribution
      newTopic = random.nextDiscrete (topicWeights, topicWeightsSum);


      // Put that new topic into the counts
      oneDocTopics[si] = newTopic;
      currentTypeTopicCounts.adjustOrPutValue(newTopic, 1, 1);
      localTopicCounts[newTopic] ++;
      tokensPerTopic[newTopic]++;
    }
  }

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Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

      // Sample a topic assignment from this distribution
      newTopic = random.nextDiscrete (topicWeights, topicWeightsSum);


      // Put that new topic into the counts
      oneDocTopics[si] = newTopic;
      currentTypeTopicCounts.adjustOrPutValue(newTopic, 1, 1);
      tokensPerTopic[newTopic]++;
    }
  }


  //print human readable doc-topic matrix, for further IR use

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Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

      smoothingOnlyMass -= alpha[newTopic] * beta / 
        (tokensPerTopic[newTopic] + betaSum);
      topicBetaMass -= beta * localTopicCounts.get(newTopic) /
        (tokensPerTopic[newTopic] + betaSum);


      localTopicCounts.adjustOrPutValue(newTopic, 1, 1);
      tokensPerTopic[newTopic]++;


      //      update the coefficients for the non-zero topics
      cachedCoefficients[newTopic] =
        (alpha[newTopic] + localTopicCounts.get(newTopic)) /

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Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

    
    for (Instance instance: instances) {
      FeatureSequence features = (FeatureSequence) instance.getData();
            
      for (int i=0; i<features.getLength(); i++) {
        docCounts.adjustOrPutValue(features.getIndexAtPosition(i), 1, 1);
      }
            
      int[] keys = docCounts.keys();
      for (int i = 0; i < keys.length - 1; i++) {
        int feature = keys[i];

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Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

      assert (currentTypeTopicCounts.size() != 0);


      if (readjustTopicsAndStats) {
        // Remove this token from all counts
        oneDocTopicCounts[oldTopic]--;
        adjustedValue = currentTypeTopicCounts.adjustOrPutValue(oldTopic, -1, -1);
        if (adjustedValue == 0) currentTypeTopicCounts.remove(oldTopic);
        else if (adjustedValue == -1) throw new IllegalStateException ("Token count in topic went negative.");
        tokensPerTopic[oldTopic]--;
      }

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Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

    int docLength = tokenSequence.getLength();


    //    populate topic counts
    TIntIntHashMap localTopicCounts = new TIntIntHashMap();
    for (int position = 0; position < docLength; position++) {
      localTopicCounts.adjustOrPutValue(oneDocTopics[position], 1, 1);
    }


    //    Initialize the topic count/beta sampling bucket
    double topicBetaMass = 0.0;
    for (int topic: localTopicCounts.keys()) {

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Examples of gnu.trove.TIntIntHashMap.adjustOrPutValue()

      while(ip.next() != IterablePosting.EOL)
      {
        //System.err.println("Got id " + ip.getId());
        assertTrue("Got too big a docid ("+ip.getId()+") from inverted index input stream for term at index " + ithTerm, ip.getId() < numDocs);
        count++;
        calculatedDocLengths.adjustOrPutValue(ip.getId(), ip.getFrequency(), ip.getFrequency());
      }
      assertEquals(expected, count);
    }
    assertEquals("Number of documents is unexpected,", documentLengths.length - countZero(documentLengths), calculatedDocLengths.size());
    long tokens = 0;

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Examples of gnu.trove.map.TDoubleDoubleMap.adjustOrPutValue()

      double count = iterator.value();
      for (int letter = 0; letter < 4; ++letter) {
        double new_score = score + column[letter];
        if (new_score >= least_sufficient) {
          double add = count * background.count(letter);
          new_scores.adjustOrPutValue(new_score, add, add);
        }
      }
    }
    return new_scores;
  }

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Examples of gnu.trove.map.TDoubleDoubleMap.adjustOrPutValue()

      TDoubleDoubleIterator iterator = scores[i].iterator();
      while(iterator.hasNext()) {
        iterator.advance();
        double score = iterator.key();
        double count = iterator.value();
        combined_scores.adjustOrPutValue(score, count, count);
      }
    }
    return combined_scores;
  }

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