@@ -678,8 +678,7 @@ void CMetricModelTest::testProbabilityCalculationForMetric() {
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CMetricModel& model = static_cast <CMetricModel&>(*model_.get ());
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CPPUNIT_ASSERT_EQUAL (std::size_t (0 ), addPerson (" p" , gatherer, m_ResourceMonitor));
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- TMinAccumulator minProbabilities (2u );
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-
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+ maths::CBasicStatistics::COrderStatisticsHeap<TDoubleSizePr> minProbabilities (2u );
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test::CRandomNumbers rng;
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core_t ::TTime time = startTime;
@@ -737,8 +736,7 @@ void CMetricModelTest::testProbabilityCalculationForMedian() {
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CMetricModel& model = static_cast <CMetricModel&>(*model_.get ());
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CPPUNIT_ASSERT_EQUAL (std::size_t (0 ), addPerson (" p" , gatherer, m_ResourceMonitor));
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- TMinAccumulator minProbabilities (2u );
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-
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+ maths::CBasicStatistics::COrderStatisticsHeap<TDoubleSizePr> minProbabilities (2u );
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test::CRandomNumbers rng;
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core_t ::TTime time = startTime;
@@ -1072,8 +1070,8 @@ void CMetricModelTest::testInfluence() {
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TDoubleVec samples;
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rng.generateNormalSamples (mean, variance, bucketCount, samples);
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- TMinAccumulator min;
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- TMaxAccumulator max;
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+ maths::CBasicStatistics::SMin<TDoubleStrPr>::TAccumulator min;
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+ maths::CBasicStatistics::SMax<TDoubleStrPr>::TAccumulator max;
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for (std::size_t j = 0u ; j < samples.size (); ++j) {
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addArrival (*gatherer, m_ResourceMonitor, time, " p" , samples[j], TOptionalStr (influencerValues[j]));
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min.add (TDoubleStrPr (samples[j], influencerValues[j]));
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