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-rw-r--r--third_party/abseil_cpp/absl/numeric/int128_benchmark.cc282
1 files changed, 0 insertions, 282 deletions
diff --git a/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc b/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc
deleted file mode 100644
index eab1515c0ad8..000000000000
--- a/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc
+++ /dev/null
@@ -1,282 +0,0 @@
-// Copyright 2017 The Abseil Authors.
-//
-// 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
-//
-//      https://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 <algorithm>
-#include <cstdint>
-#include <limits>
-#include <random>
-#include <vector>
-
-#include "benchmark/benchmark.h"
-#include "absl/base/config.h"
-#include "absl/numeric/int128.h"
-
-namespace {
-
-constexpr size_t kSampleSize = 1000000;
-
-std::mt19937 MakeRandomEngine() {
-  std::random_device r;
-  std::seed_seq seed({r(), r(), r(), r(), r(), r(), r(), r()});
-  return std::mt19937(seed);
-}
-
-template <typename T,
-          typename H = typename std::conditional<
-              std::numeric_limits<T>::is_signed, int64_t, uint64_t>::type>
-std::vector<std::pair<T, T>> GetRandomClass128SampleUniformDivisor() {
-  std::vector<std::pair<T, T>> values;
-  std::mt19937 random = MakeRandomEngine();
-  std::uniform_int_distribution<H> uniform_h;
-  values.reserve(kSampleSize);
-  for (size_t i = 0; i < kSampleSize; ++i) {
-    T a{absl::MakeUint128(uniform_h(random), uniform_h(random))};
-    T b{absl::MakeUint128(uniform_h(random), uniform_h(random))};
-    values.emplace_back(std::max(a, b), std::max(T(2), std::min(a, b)));
-  }
-  return values;
-}
-
-template <typename T>
-void BM_DivideClass128UniformDivisor(benchmark::State& state) {
-  auto values = GetRandomClass128SampleUniformDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first / pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_DivideClass128UniformDivisor, absl::uint128);
-BENCHMARK_TEMPLATE(BM_DivideClass128UniformDivisor, absl::int128);
-
-template <typename T>
-void BM_RemainderClass128UniformDivisor(benchmark::State& state) {
-  auto values = GetRandomClass128SampleUniformDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first % pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_RemainderClass128UniformDivisor, absl::uint128);
-BENCHMARK_TEMPLATE(BM_RemainderClass128UniformDivisor, absl::int128);
-
-template <typename T,
-          typename H = typename std::conditional<
-              std::numeric_limits<T>::is_signed, int64_t, uint64_t>::type>
-std::vector<std::pair<T, H>> GetRandomClass128SampleSmallDivisor() {
-  std::vector<std::pair<T, H>> values;
-  std::mt19937 random = MakeRandomEngine();
-  std::uniform_int_distribution<H> uniform_h;
-  values.reserve(kSampleSize);
-  for (size_t i = 0; i < kSampleSize; ++i) {
-    T a{absl::MakeUint128(uniform_h(random), uniform_h(random))};
-    H b{std::max(H{2}, uniform_h(random))};
-    values.emplace_back(std::max(a, T(b)), b);
-  }
-  return values;
-}
-
-template <typename T>
-void BM_DivideClass128SmallDivisor(benchmark::State& state) {
-  auto values = GetRandomClass128SampleSmallDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first / pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_DivideClass128SmallDivisor, absl::uint128);
-BENCHMARK_TEMPLATE(BM_DivideClass128SmallDivisor, absl::int128);
-
-template <typename T>
-void BM_RemainderClass128SmallDivisor(benchmark::State& state) {
-  auto values = GetRandomClass128SampleSmallDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first % pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_RemainderClass128SmallDivisor, absl::uint128);
-BENCHMARK_TEMPLATE(BM_RemainderClass128SmallDivisor, absl::int128);
-
-std::vector<std::pair<absl::uint128, absl::uint128>> GetRandomClass128Sample() {
-  std::vector<std::pair<absl::uint128, absl::uint128>> values;
-  std::mt19937 random = MakeRandomEngine();
-  std::uniform_int_distribution<uint64_t> uniform_uint64;
-  values.reserve(kSampleSize);
-  for (size_t i = 0; i < kSampleSize; ++i) {
-    values.emplace_back(
-        absl::MakeUint128(uniform_uint64(random), uniform_uint64(random)),
-        absl::MakeUint128(uniform_uint64(random), uniform_uint64(random)));
-  }
-  return values;
-}
-
-void BM_MultiplyClass128(benchmark::State& state) {
-  auto values = GetRandomClass128Sample();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first * pair.second);
-    }
-  }
-}
-BENCHMARK(BM_MultiplyClass128);
-
-void BM_AddClass128(benchmark::State& state) {
-  auto values = GetRandomClass128Sample();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first + pair.second);
-    }
-  }
-}
-BENCHMARK(BM_AddClass128);
-
-#ifdef ABSL_HAVE_INTRINSIC_INT128
-
-// Some implementations of <random> do not support __int128 when it is
-// available, so we make our own uniform_int_distribution-like type.
-template <typename T,
-          typename H = typename std::conditional<
-              std::is_same<T, __int128>::value, int64_t, uint64_t>::type>
-class UniformIntDistribution128 {
- public:
-  // NOLINTNEXTLINE: mimicking std::uniform_int_distribution API
-  T operator()(std::mt19937& generator) {
-    return (static_cast<T>(dist64_(generator)) << 64) | dist64_(generator);
-  }
-
- private:
-  std::uniform_int_distribution<H> dist64_;
-};
-
-template <typename T,
-          typename H = typename std::conditional<
-              std::is_same<T, __int128>::value, int64_t, uint64_t>::type>
-std::vector<std::pair<T, T>> GetRandomIntrinsic128SampleUniformDivisor() {
-  std::vector<std::pair<T, T>> values;
-  std::mt19937 random = MakeRandomEngine();
-  UniformIntDistribution128<T> uniform_128;
-  values.reserve(kSampleSize);
-  for (size_t i = 0; i < kSampleSize; ++i) {
-    T a = uniform_128(random);
-    T b = uniform_128(random);
-    values.emplace_back(std::max(a, b),
-                        std::max(static_cast<T>(2), std::min(a, b)));
-  }
-  return values;
-}
-
-template <typename T>
-void BM_DivideIntrinsic128UniformDivisor(benchmark::State& state) {
-  auto values = GetRandomIntrinsic128SampleUniformDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first / pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_DivideIntrinsic128UniformDivisor, unsigned __int128);
-BENCHMARK_TEMPLATE(BM_DivideIntrinsic128UniformDivisor, __int128);
-
-template <typename T>
-void BM_RemainderIntrinsic128UniformDivisor(benchmark::State& state) {
-  auto values = GetRandomIntrinsic128SampleUniformDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first % pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128UniformDivisor, unsigned __int128);
-BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128UniformDivisor, __int128);
-
-template <typename T,
-          typename H = typename std::conditional<
-              std::is_same<T, __int128>::value, int64_t, uint64_t>::type>
-std::vector<std::pair<T, H>> GetRandomIntrinsic128SampleSmallDivisor() {
-  std::vector<std::pair<T, H>> values;
-  std::mt19937 random = MakeRandomEngine();
-  UniformIntDistribution128<T> uniform_int128;
-  std::uniform_int_distribution<H> uniform_int64;
-  values.reserve(kSampleSize);
-  for (size_t i = 0; i < kSampleSize; ++i) {
-    T a = uniform_int128(random);
-    H b = std::max(H{2}, uniform_int64(random));
-    values.emplace_back(std::max(a, static_cast<T>(b)), b);
-  }
-  return values;
-}
-
-template <typename T>
-void BM_DivideIntrinsic128SmallDivisor(benchmark::State& state) {
-  auto values = GetRandomIntrinsic128SampleSmallDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first / pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_DivideIntrinsic128SmallDivisor, unsigned __int128);
-BENCHMARK_TEMPLATE(BM_DivideIntrinsic128SmallDivisor, __int128);
-
-template <typename T>
-void BM_RemainderIntrinsic128SmallDivisor(benchmark::State& state) {
-  auto values = GetRandomIntrinsic128SampleSmallDivisor<T>();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first % pair.second);
-    }
-  }
-}
-BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128SmallDivisor, unsigned __int128);
-BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128SmallDivisor, __int128);
-
-std::vector<std::pair<unsigned __int128, unsigned __int128>>
-      GetRandomIntrinsic128Sample() {
-  std::vector<std::pair<unsigned __int128, unsigned __int128>> values;
-  std::mt19937 random = MakeRandomEngine();
-  UniformIntDistribution128<unsigned __int128> uniform_uint128;
-  values.reserve(kSampleSize);
-  for (size_t i = 0; i < kSampleSize; ++i) {
-    values.emplace_back(uniform_uint128(random), uniform_uint128(random));
-  }
-  return values;
-}
-
-void BM_MultiplyIntrinsic128(benchmark::State& state) {
-  auto values = GetRandomIntrinsic128Sample();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first * pair.second);
-    }
-  }
-}
-BENCHMARK(BM_MultiplyIntrinsic128);
-
-void BM_AddIntrinsic128(benchmark::State& state) {
-  auto values = GetRandomIntrinsic128Sample();
-  while (state.KeepRunningBatch(values.size())) {
-    for (const auto& pair : values) {
-      benchmark::DoNotOptimize(pair.first + pair.second);
-    }
-  }
-}
-BENCHMARK(BM_AddIntrinsic128);
-
-#endif  // ABSL_HAVE_INTRINSIC_INT128
-
-}  // namespace