1 files changed, 29 insertions, 54 deletions
diff --git a/tools/lldb-perf/lib/Metric.cpp b/tools/lldb-perf/lib/Metric.cpp
index 1951cdb0250a..f049e6c246a0 100644
--- a/tools/lldb-perf/lib/Metric.cpp
+++ b/tools/lldb-perf/lib/Metric.cpp
@@ -13,72 +13,47 @@
 
 using namespace lldb_perf;
 
-template <class T>
-Metric<T>::Metric () : Metric ("")
-{
-}
+template <class T> Metric<T>::Metric() : Metric("") {}
 
 template <class T>
-Metric<T>::Metric (const char* n, const char* d) :
-    m_name(n ? n : ""),
-    m_description(d ? d : ""),
-    m_dataset ()
-{
-}
+Metric<T>::Metric(const char *n, const char *d)
+    : m_name(n ? n : ""), m_description(d ? d : ""), m_dataset() {}
 
-template <class T>
-void
-Metric<T>::Append (T v)
-{
-    m_dataset.push_back(v);
-}
+template <class T> void Metric<T>::Append(T v) { m_dataset.push_back(v); }
 
-template <class T>
-size_t
-Metric<T>::GetCount () const
-{
-    return m_dataset.size();
+template <class T> size_t Metric<T>::GetCount() const {
+  return m_dataset.size();
 }
 
-template <class T>
-T
-Metric<T>::GetSum () const
-{
-    T sum = 0;
-    for (auto v : m_dataset)
-        sum += v;
-    return sum;
+template <class T> T Metric<T>::GetSum() const {
+  T sum = 0;
+  for (auto v : m_dataset)
+    sum += v;
+  return sum;
 }
 
-template <class T>
-T
-Metric<T>::GetAverage () const
-{
-    return GetSum()/GetCount();
+template <class T> T Metric<T>::GetAverage() const {
+  return GetSum() / GetCount();
 }
 
-
 // Knuth's algorithm for stddev - massive cancellation resistant
 template <class T>
-T
-Metric<T>::GetStandardDeviation (StandardDeviationMode mode) const
-{
-    size_t n = 0;
-    T mean = 0;
-    T M2 = 0;
-    for (auto x : m_dataset)
-    {
-        n = n + 1;
-        T delta = x - mean;
-        mean = mean + delta/n;
-        M2 = M2+delta*(x-mean);
-    }
-    T variance;
-    if (mode == StandardDeviationMode::ePopulation || n == 1)
-        variance = M2 / n;
-    else
-        variance = M2 / (n - 1);
-    return sqrt(variance);
+T Metric<T>::GetStandardDeviation(StandardDeviationMode mode) const {
+  size_t n = 0;
+  T mean = 0;
+  T M2 = 0;
+  for (auto x : m_dataset) {
+    n = n + 1;
+    T delta = x - mean;
+    mean = mean + delta / n;
+    M2 = M2 + delta * (x - mean);
+  }
+  T variance;
+  if (mode == StandardDeviationMode::ePopulation || n == 1)
+    variance = M2 / n;
+  else
+    variance = M2 / (n - 1);
+  return sqrt(variance);
 }
 
 template class lldb_perf::Metric<double>;