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Wrap all std::min and std::max calls in parentheses

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Scott Hutchinson 2021-01-23 12:58:20 -08:00 committed by Martin Hořeňovský
parent 68975e3ff3
commit b025a007b9
3 changed files with 7 additions and 5 deletions
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4
include/internal/benchmark/detail/catch_estimate_clock.hpp
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@ -68,7 +68,9 @@ namespace Catch {
} }
template <typename Clock> template <typename Clock>
EnvironmentEstimate<FloatDuration<Clock>> estimate_clock_cost(FloatDuration<Clock> resolution) { EnvironmentEstimate<FloatDuration<Clock>> estimate_clock_cost(FloatDuration<Clock> resolution) {
auto time_limit = std::min(resolution * clock_cost_estimation_tick_limit, FloatDuration<Clock>(clock_cost_estimation_time_limit)); auto time_limit = (std::min)(
resolution * clock_cost_estimation_tick_limit,
FloatDuration<Clock>(clock_cost_estimation_time_limit));
auto time_clock = [](int k) { auto time_clock = [](int k) {
return Detail::measure<Clock>([k] { return Detail::measure<Clock>([k] {
for (int i = 0; i < k; ++i) { for (int i = 0; i < k; ++i) {

4
include/internal/benchmark/detail/catch_stats.cpp
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@ -152,7 +152,7 @@ namespace Catch {
double sb = stddev.point; double sb = stddev.point;
double mn = mean.point / n; double mn = mean.point / n;
double mg_min = mn / 2.; double mg_min = mn / 2.;
double sg = std::min(mg_min / 4., sb / std::sqrt(n)); double sg = (std::min)(mg_min / 4., sb / std::sqrt(n));
double sg2 = sg * sg; double sg2 = sg * sg;
double sb2 = sb * sb; double sb2 = sb * sb;
@ -171,7 +171,7 @@ namespace Catch {
return (nc / n) * (sb2 - nc * sg2); return (nc / n) * (sb2 - nc * sg2);
}; };
return std::min(var_out(1), var_out(std::min(c_max(0.), c_max(mg_min)))) / sb2; return (std::min)(var_out(1), var_out((std::min)(c_max(0.), c_max(mg_min)))) / sb2;
} }

4
include/internal/benchmark/detail/catch_stats.hpp
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@ -138,8 +138,8 @@ namespace Catch {
double b2 = bias - z1; double b2 = bias - z1;
double a1 = a(b1); double a1 = a(b1);
double a2 = a(b2); double a2 = a(b2);
auto lo = std::max(cumn(a1), 0); auto lo = (std::max)(cumn(a1), 0);
auto hi = std::min(cumn(a2), n - 1); auto hi = (std::min)(cumn(a2), n - 1);
return { point, resample[lo], resample[hi], confidence_level }; return { point, resample[lo], resample[hi], confidence_level };
} }