@@ -687,8 +687,7 @@ void CMetricModelTest::testProbabilityCalculationForMetric() {
687
687
CMetricModel& model = static_cast <CMetricModel&>(*model_.get ());
688
688
CPPUNIT_ASSERT_EQUAL (std::size_t (0 ), addPerson (" p" , gatherer, m_ResourceMonitor));
689
689
690
- TMinAccumulator minProbabilities (2u );
691
-
690
+ maths::CBasicStatistics::COrderStatisticsHeap<TDoubleSizePr> minProbabilities (2u );
692
691
test::CRandomNumbers rng;
693
692
694
693
core_t ::TTime time = startTime;
@@ -746,8 +745,7 @@ void CMetricModelTest::testProbabilityCalculationForMedian() {
746
745
CMetricModel& model = static_cast <CMetricModel&>(*model_.get ());
747
746
CPPUNIT_ASSERT_EQUAL (std::size_t (0 ), addPerson (" p" , gatherer, m_ResourceMonitor));
748
747
749
- TMinAccumulator minProbabilities (2u );
750
-
748
+ maths::CBasicStatistics::COrderStatisticsHeap<TDoubleSizePr> minProbabilities (2u );
751
749
test::CRandomNumbers rng;
752
750
753
751
core_t ::TTime time = startTime;
@@ -1081,8 +1079,8 @@ void CMetricModelTest::testInfluence() {
1081
1079
TDoubleVec samples;
1082
1080
rng.generateNormalSamples (mean, variance, bucketCount, samples);
1083
1081
1084
- TMinAccumulator min;
1085
- TMaxAccumulator max;
1082
+ maths::CBasicStatistics::SMin<TDoubleStrPr>::TAccumulator min;
1083
+ maths::CBasicStatistics::SMax<TDoubleStrPr>::TAccumulator max;
1086
1084
for (std::size_t j = 0u ; j < samples.size (); ++j) {
1087
1085
addArrival (*gatherer, m_ResourceMonitor, time, " p" , samples[j], TOptionalStr (influencerValues[j]));
1088
1086
min.add (TDoubleStrPr (samples[j], influencerValues[j]));
0 commit comments