1 files changed, 0 insertions, 195 deletions
diff --git a/third-party/benchmark/src/statistics.cc b/third-party/benchmark/src/statistics.cc
deleted file mode 100644
index 57472b9ff99b..000000000000
--- a/third-party/benchmark/src/statistics.cc
+++ /dev/null
@@ -1,195 +0,0 @@
-// Copyright 2016 Ismael Jimenez Martinez. All rights reserved.
-// Copyright 2017 Roman Lebedev. All rights reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "benchmark/benchmark.h"
-
-#include <algorithm>
-#include <cmath>
-#include <numeric>
-#include <string>
-#include <vector>
-#include "check.h"
-#include "statistics.h"
-
-namespace benchmark {
-
-auto StatisticsSum = [](const std::vector<double>& v) {
-  return std::accumulate(v.begin(), v.end(), 0.0);
-};
-
-double StatisticsMean(const std::vector<double>& v) {
-  if (v.empty()) return 0.0;
-  return StatisticsSum(v) * (1.0 / v.size());
-}
-
-double StatisticsMedian(const std::vector<double>& v) {
-  if (v.size() < 3) return StatisticsMean(v);
-  std::vector<double> copy(v);
-
-  auto center = copy.begin() + v.size() / 2;
-  std::nth_element(copy.begin(), center, copy.end());
-
-  // did we have an odd number of samples?
-  // if yes, then center is the median
-  // it no, then we are looking for the average between center and the value
-  // before
-  if (v.size() % 2 == 1) return *center;
-  auto center2 = copy.begin() + v.size() / 2 - 1;
-  std::nth_element(copy.begin(), center2, copy.end());
-  return (*center + *center2) / 2.0;
-}
-
-// Return the sum of the squares of this sample set
-auto SumSquares = [](const std::vector<double>& v) {
-  return std::inner_product(v.begin(), v.end(), v.begin(), 0.0);
-};
-
-auto Sqr = [](const double dat) { return dat * dat; };
-auto Sqrt = [](const double dat) {
-  // Avoid NaN due to imprecision in the calculations
-  if (dat < 0.0) return 0.0;
-  return std::sqrt(dat);
-};
-
-double StatisticsStdDev(const std::vector<double>& v) {
-  const auto mean = StatisticsMean(v);
-  if (v.empty()) return mean;
-
-  // Sample standard deviation is undefined for n = 1
-  if (v.size() == 1) return 0.0;
-
-  const double avg_squares = SumSquares(v) * (1.0 / v.size());
-  return Sqrt(v.size() / (v.size() - 1.0) * (avg_squares - Sqr(mean)));
-}
-
-std::vector<BenchmarkReporter::Run> ComputeStats(
-    const std::vector<BenchmarkReporter::Run>& reports) {
-  typedef BenchmarkReporter::Run Run;
-  std::vector<Run> results;
-
-  auto error_count =
-      std::count_if(reports.begin(), reports.end(),
-                    [](Run const& run) { return run.error_occurred; });
-
-  if (reports.size() - error_count < 2) {
-    // We don't report aggregated data if there was a single run.
-    return results;
-  }
-
-  // Accumulators.
-  std::vector<double> real_accumulated_time_stat;
-  std::vector<double> cpu_accumulated_time_stat;
-
-  real_accumulated_time_stat.reserve(reports.size());
-  cpu_accumulated_time_stat.reserve(reports.size());
-
-  // All repetitions should be run with the same number of iterations so we
-  // can take this information from the first benchmark.
-  const IterationCount run_iterations = reports.front().iterations;
-  // create stats for user counters
-  struct CounterStat {
-    Counter c;
-    std::vector<double> s;
-  };
-  std::map<std::string, CounterStat> counter_stats;
-  for (Run const& r : reports) {
-    for (auto const& cnt : r.counters) {
-      auto it = counter_stats.find(cnt.first);
-      if (it == counter_stats.end()) {
-        counter_stats.insert({cnt.first, {cnt.second, std::vector<double>{}}});
-        it = counter_stats.find(cnt.first);
-        it->second.s.reserve(reports.size());
-      } else {
-        CHECK_EQ(counter_stats[cnt.first].c.flags, cnt.second.flags);
-      }
-    }
-  }
-
-  // Populate the accumulators.
-  for (Run const& run : reports) {
-    CHECK_EQ(reports[0].benchmark_name(), run.benchmark_name());
-    CHECK_EQ(run_iterations, run.iterations);
-    if (run.error_occurred) continue;
-    real_accumulated_time_stat.emplace_back(run.real_accumulated_time);
-    cpu_accumulated_time_stat.emplace_back(run.cpu_accumulated_time);
-    // user counters
-    for (auto const& cnt : run.counters) {
-      auto it = counter_stats.find(cnt.first);
-      CHECK_NE(it, counter_stats.end());
-      it->second.s.emplace_back(cnt.second);
-    }
-  }
-
-  // Only add label if it is same for all runs
-  std::string report_label = reports[0].report_label;
-  for (std::size_t i = 1; i < reports.size(); i++) {
-    if (reports[i].report_label != report_label) {
-      report_label = "";
-      break;
-    }
-  }
-
-  const double iteration_rescale_factor =
-      double(reports.size()) / double(run_iterations);
-
-  for (const auto& Stat : *reports[0].statistics) {
-    // Get the data from the accumulator to BenchmarkReporter::Run's.
-    Run data;
-    data.run_name = reports[0].run_name;
-    data.family_index = reports[0].family_index;
-    data.per_family_instance_index = reports[0].per_family_instance_index;
-    data.run_type = BenchmarkReporter::Run::RT_Aggregate;
-    data.threads = reports[0].threads;
-    data.repetitions = reports[0].repetitions;
-    data.repetition_index = Run::no_repetition_index;
-    data.aggregate_name = Stat.name_;
-    data.report_label = report_label;
-
-    // It is incorrect to say that an aggregate is computed over
-    // run's iterations, because those iterations already got averaged.
-    // Similarly, if there are N repetitions with 1 iterations each,
-    // an aggregate will be computed over N measurements, not 1.
-    // Thus it is best to simply use the count of separate reports.
-    data.iterations = reports.size();
-
-    data.real_accumulated_time = Stat.compute_(real_accumulated_time_stat);
-    data.cpu_accumulated_time = Stat.compute_(cpu_accumulated_time_stat);
-
-    // We will divide these times by data.iterations when reporting, but the
-    // data.iterations is not nessesairly the scale of these measurements,
-    // because in each repetition, these timers are sum over all the iterations.
-    // And if we want to say that the stats are over N repetitions and not
-    // M iterations, we need to multiply these by (N/M).
-    data.real_accumulated_time *= iteration_rescale_factor;
-    data.cpu_accumulated_time *= iteration_rescale_factor;
-
-    data.time_unit = reports[0].time_unit;
-
-    // user counters
-    for (auto const& kv : counter_stats) {
-      // Do *NOT* rescale the custom counters. They are already properly scaled.
-      const auto uc_stat = Stat.compute_(kv.second.s);
-      auto c = Counter(uc_stat, counter_stats[kv.first].c.flags,
-                       counter_stats[kv.first].c.oneK);
-      data.counters[kv.first] = c;
-    }
-
-    results.push_back(data);
-  }
-
-  return results;
-}
-
-}  // end namespace benchmark