LCOV - code coverage report
Current view: top level - src/samplers Hit Total Coverage
Test: idaholab/moose stochastic_tools: #32971 (54bef8) with base c6cf66 Lines: 891 955 93.3 %
Date: 2026-05-29 20:40:35 Functions: 99 101 98.0 %
Legend: Rating: low: < 75 % medium: >= 75 % high: >= 90 %

Filename Sort by name Line Coverage Sort by line coverage Functions Sort by function coverage
AffineInvariantStretchSampler.C
73.3%73.3%
 73.3 % 33 / 45 100.0 % 4 / 4
CartesianProductSampler.C
85.2%85.2%
 85.2 % 23 / 27 100.0 % 3 / 3
IndependentGaussianMH.C
86.4%86.4%
 86.4 % 19 / 22 100.0 % 3 / 3
AISActiveLearning.C
87.5%87.5%
 87.5 % 7 / 8 100.0 % 2 / 2
BayesianActiveLearningSampler.C
88.6%88.6%
 88.6 % 31 / 35 100.0 % 6 / 6
VectorPostprocessorSampler.C
90.9%90.9%
 90.9 % 20 / 22 100.0 % 4 / 4
AffineInvariantDES.C
91.4%91.4%
 91.4 % 53 / 58 100.0 % 5 / 5
CSVSampler.C
91.9%91.9%
 91.9 % 34 / 37 100.0 % 3 / 3
DirectPerturbationSampler.C
92.5%92.5%
 92.5 % 37 / 40 83.3 % 5 / 6
ParallelSubsetSimulation.C
93.6%93.6%
 93.6 % 88 / 94 100.0 % 7 / 7
PMCMCBase.C
93.7%93.7%
 93.7 % 104 / 111 92.9 % 13 / 14
MonteCarloSampler.C
93.8%93.8%
 93.8 % 15 / 16 100.0 % 3 / 3
SobolSampler.C
95.0%95.0%
 95.0 % 57 / 60 100.0 % 4 / 4
InputMatrixSampler.C
95.2%95.2%
 95.2 % 20 / 21 100.0 % 4 / 4
ActiveLearningMonteCarloSampler.C
95.5%95.5%
 95.5 % 42 / 44 100.0 % 4 / 4
LatinHypercubeSampler.C
96.6%96.6%
 96.6 % 28 / 29 100.0 % 4 / 4
NestedMonteCarloSampler.C
96.8%96.8%
 96.8 % 30 / 31 100.0 % 3 / 3
Cartesian1DSampler.C
97.3%97.3%
 97.3 % 36 / 37 100.0 % 3 / 3
AdaptiveImportanceSampler.C
97.4%97.4%
 97.4 % 76 / 78 100.0 % 4 / 4
GenericActiveLearningSampler.C
97.9%97.9%
 97.9 % 46 / 47 100.0 % 6 / 6
MorrisSampler.C
98.4%98.4%
 98.4 % 60 / 61 100.0 % 5 / 5
QuadratureSampler.C
100.0%
 100.0 % 32 / 32 100.0 % 4 / 4

Generated by: LCOV version 1.14