Squashed 'third_party/abseil_cpp/' changes from 768eb2ca2..ccdbb5941

ccdbb5941 Export of internal Abseil changes
01f5f81f9 Export of internal Abseil changes
2c92bdc7c Export of internal Abseil changes
e7ebf9803 Export of internal Abseil changes
2eba343b5 Export of internal Abseil changes
a8b03d90e Export of internal Abseil changes
1d31b5c36 Export of internal Abseil changes
da3a87690 Export of internal Abseil changes
8faf20461 Exclude empty directories (#697)
2069dc796 Export of internal Abseil changes
4832bf6bf Added a BUILD file in root to expose license. (#695)
af8f994af Export of internal Abseil changes
33caf1097 Export of internal Abseil changes
cf1a02e2d Export of internal Abseil changes

git-subtree-dir: third_party/abseil_cpp
git-subtree-split: ccdbb5941f992fabda7eae3ce72f55efc17c826a

1 files changed, 111 insertions, 50 deletions

diff --git a/absl/numeric/int128_benchmark.cc b/absl/numeric/int128_benchmark.cc
index a5502d927c08..eab1515c0ad8 100644
--- a/absl/numeric/int128_benchmark.cc
+++ b/absl/numeric/int128_benchmark.cc
@@ -12,15 +12,15 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "absl/numeric/int128.h"
-
 #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 {
 
@@ -32,57 +32,85 @@ std::mt19937 MakeRandomEngine() {
   return std::mt19937(seed);
 }
 
-std::vector<std::pair<absl::uint128, absl::uint128>>
-GetRandomClass128SampleUniformDivisor() {
-  std::vector<std::pair<absl::uint128, absl::uint128>> values;
+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<uint64_t> uniform_uint64;
+  std::uniform_int_distribution<H> uniform_h;
   values.reserve(kSampleSize);
   for (size_t i = 0; i < kSampleSize; ++i) {
-    absl::uint128 a =
-        absl::MakeUint128(uniform_uint64(random), uniform_uint64(random));
-    absl::uint128 b =
-        absl::MakeUint128(uniform_uint64(random), uniform_uint64(random));
-    values.emplace_back(std::max(a, b),
-                        std::max(absl::uint128(2), std::min(a, b)));
+    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();
+  auto values = GetRandomClass128SampleUniformDivisor<T>();
   while (state.KeepRunningBatch(values.size())) {
     for (const auto& pair : values) {
       benchmark::DoNotOptimize(pair.first / pair.second);
     }
   }
 }
-BENCHMARK(BM_DivideClass128UniformDivisor);
+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);
 
-std::vector<std::pair<absl::uint128, uint64_t>>
-GetRandomClass128SampleSmallDivisor() {
-  std::vector<std::pair<absl::uint128, uint64_t>> values;
+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<uint64_t> uniform_uint64;
+  std::uniform_int_distribution<H> uniform_h;
   values.reserve(kSampleSize);
   for (size_t i = 0; i < kSampleSize; ++i) {
-    absl::uint128 a =
-        absl::MakeUint128(uniform_uint64(random), uniform_uint64(random));
-    uint64_t b = std::max(uint64_t{2}, uniform_uint64(random));
-    values.emplace_back(std::max(a, absl::uint128(b)), b);
+    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();
+  auto values = GetRandomClass128SampleSmallDivisor<T>();
   while (state.KeepRunningBatch(values.size())) {
     for (const auto& pair : values) {
       benchmark::DoNotOptimize(pair.first / pair.second);
     }
   }
 }
-BENCHMARK(BM_DivideClass128SmallDivisor);
+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;
@@ -121,74 +149,107 @@ BENCHMARK(BM_AddClass128);
 
 // 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
-  unsigned __int128 operator()(std::mt19937& generator) {
-    return (static_cast<unsigned __int128>(dist64_(generator)) << 64) |
-           dist64_(generator);
+  T operator()(std::mt19937& generator) {
+    return (static_cast<T>(dist64_(generator)) << 64) | dist64_(generator);
   }
 
  private:
-  std::uniform_int_distribution<uint64_t> dist64_;
+  std::uniform_int_distribution<H> dist64_;
 };
 
-std::vector<std::pair<unsigned __int128, unsigned __int128>>
-GetRandomIntrinsic128SampleUniformDivisor() {
-  std::vector<std::pair<unsigned __int128, unsigned __int128>> values;
+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 uniform_uint128;
+  UniformIntDistribution128<T> uniform_128;
   values.reserve(kSampleSize);
   for (size_t i = 0; i < kSampleSize; ++i) {
-    unsigned __int128 a = uniform_uint128(random);
-    unsigned __int128 b = uniform_uint128(random);
-    values.emplace_back(
-        std::max(a, b),
-        std::max(static_cast<unsigned __int128>(2), std::min(a, b)));
+    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();
+  auto values = GetRandomIntrinsic128SampleUniformDivisor<T>();
   while (state.KeepRunningBatch(values.size())) {
     for (const auto& pair : values) {
       benchmark::DoNotOptimize(pair.first / pair.second);
     }
   }
 }
-BENCHMARK(BM_DivideIntrinsic128UniformDivisor);
+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);
 
-std::vector<std::pair<unsigned __int128, uint64_t>>
-GetRandomIntrinsic128SampleSmallDivisor() {
-  std::vector<std::pair<unsigned __int128, uint64_t>> values;
+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 uniform_uint128;
-  std::uniform_int_distribution<uint64_t> uniform_uint64;
+  UniformIntDistribution128<T> uniform_int128;
+  std::uniform_int_distribution<H> uniform_int64;
   values.reserve(kSampleSize);
   for (size_t i = 0; i < kSampleSize; ++i) {
-    unsigned __int128 a = uniform_uint128(random);
-    uint64_t b = std::max(uint64_t{2}, uniform_uint64(random));
-    values.emplace_back(std::max(a, static_cast<unsigned __int128>(b)), b);
+    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();
+  auto values = GetRandomIntrinsic128SampleSmallDivisor<T>();
   while (state.KeepRunningBatch(values.size())) {
     for (const auto& pair : values) {
       benchmark::DoNotOptimize(pair.first / pair.second);
     }
   }
 }
-BENCHMARK(BM_DivideIntrinsic128SmallDivisor);
+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 uniform_uint128;
+  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));