public AverageResult(int newCount, Object newSum) { averageStrategy = createStrategy(newSum.getClass()); averageStrategy.set(newCount, newSum); }
public void setValue(int newCount, Object newSum) { reset(); strategy = createStrategy(newSum.getClass()); strategy.set(newCount, newSum); isOptimized = false; // this is an optimization, but we have the same // information we would otherwise have if we had // in fact visited each feature }
AverageStrategy newAverageObj; newAverageObj = createStrategy(newAverage.getClass()); newAverageObj.set(newCount.intValue(), newSum);
AverageStrategy newAverageObj; newAverageObj = createStrategy(newAverage.getClass()); newAverageObj.set(newCount.intValue(), newSum);
AverageStrategy newAverageObj; newAverageObj = createStrategy(newAverage.getClass()); newAverageObj.set(newCount.intValue(), newSum);
public AverageResult(int newCount, Object newSum) { averageStrategy = createStrategy(newSum.getClass()); averageStrategy.set(newCount, newSum); }
public AverageResult(int newCount, Object newSum) { averageStrategy = createStrategy(newSum.getClass()); averageStrategy.set(newCount, newSum); }
public void setValue(int newCount, Object newSum) { reset(); strategy = createStrategy(newSum.getClass()); strategy.set(newCount, newSum); isOptimized = false; // this is an optimization, but we have the same // information we would otherwise have if we had // in fact visited each feature }
public void setValue(int newCount, Object newSum) { reset(); strategy = createStrategy(newSum.getClass()); strategy.set(newCount, newSum); isOptimized = false; // this is an optimization, but we have the same // information we would otherwise have if we had // in fact visited each feature }