79 static double computeUnbiasedSampleVariance(const std::vector<double> &Samples,  in computeUnbiasedSampleVariance()  argument
81   assert(!Samples.empty());  in computeUnbiasedSampleVariance()
82   if (Samples.size() == 1)  in computeUnbiasedSampleVariance()
85   for (const double S : Samples) {  in computeUnbiasedSampleVariance()
89   return DiffSquaresSum / (Samples.size() - 1);  in computeUnbiasedSampleVariance()
93   auto &Samples = Data.BytesPerSecondSamples;  in processPerDistributionData()  local
94   assert(!Samples.empty());  in processPerDistributionData()
96   const double Sum = std::accumulate(Samples.begin(), Samples.end(), 0.0);  in processPerDistributionData()
97   Data.BytesPerSecondMean = Sum / Samples.size();  in processPerDistributionData()
100       computeUnbiasedSampleVariance(Samples, Data.BytesPerSecondMean);  in processPerDistributionData()
102   const size_t HalfSize = Samples.size() / 2;  in processPerDistributionData()
103   std::nth_element(Samples.begin(), Samples.begin() + HalfSize, Samples.end());  in processPerDistributionData()
104   Data.BytesPerSecondMedian = Samples[HalfSize];  in processPerDistributionData()
107 std::vector<FunctionData> getThroughputs(ArrayRef<Sample> Samples) {  in getThroughputs()  argument
109   for (const auto &S : Samples) {  in getThroughputs()