diff options
Diffstat (limited to 'tests/framework/printers/PrettyPrinter.cpp')
-rw-r--r-- | tests/framework/printers/PrettyPrinter.cpp | 20 |
1 files changed, 19 insertions, 1 deletions
diff --git a/tests/framework/printers/PrettyPrinter.cpp b/tests/framework/printers/PrettyPrinter.cpp index a2ce821f6b..085b2b900d 100644 --- a/tests/framework/printers/PrettyPrinter.cpp +++ b/tests/framework/printers/PrettyPrinter.cpp @@ -135,6 +135,22 @@ void PrettyPrinter::print_measurements(const Profiler::MeasurementsMap &measurem const auto minmax_values = std::minmax_element(instrument.second.begin(), instrument.second.end(), cmp_measurements); Measurement::Value sum_values = std::accumulate(instrument.second.begin(), instrument.second.end(), Measurement::Value(minmax_values.first->value().is_floating_point), add_measurements); + // Calculate the median value + auto measurements = instrument.second; + std::nth_element(measurements.begin(), measurements.begin() + (num_values / 2), measurements.end(), cmp_measurements); + const auto median_value = measurements[num_values / 2]; + + // Calculate the relative standard deviation + auto mean_value = sum_values / num_values; + std::vector<Measurement::Value> diff(measurements.size(), minmax_values.first->value().is_floating_point); + std::transform(measurements.begin(), measurements.end(), diff.begin(), [mean_value](const Measurement & x) + { + return x.value() - mean_value; + }); + auto sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), Measurement::Value(minmax_values.first->value().is_floating_point)); + auto variance = sq_sum / measurements.size(); + auto rsd = Measurement::Value::relative_standard_deviation(variance, mean_value); + if(num_values > 2) { sum_values -= minmax_values.first->value() + minmax_values.second->value(); @@ -142,7 +158,9 @@ void PrettyPrinter::print_measurements(const Profiler::MeasurementsMap &measurem } *_stream << " "; - *_stream << "AVG=" << (sum_values / num_values) << " " << minmax_values.second->unit() << ","; + *_stream << "MEDIAN=" << median_value.value() << " " << median_value.unit() << ", "; + *_stream << "AVG=" << (sum_values / num_values) << " " << minmax_values.second->unit() << ", "; + *_stream << "STDDEV=" << arithmetic_to_string(rsd, 2) << " %, "; if(num_values > 1) { *_stream << "MIN=" << *minmax_values.first << ", "; |