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-rw-r--r--absl/base/BUILD.bazel13
-rw-r--r--absl/base/CMakeLists.txt12
-rw-r--r--absl/base/optimization_test.cc136
-rw-r--r--absl/numeric/BUILD.bazel1
-rw-r--r--absl/numeric/CMakeLists.txt1
-rw-r--r--absl/numeric/int128.cc40
-rw-r--r--absl/numeric/int128_benchmark.cc161
-rw-r--r--absl/random/seed_sequences_test.cc1
8 files changed, 287 insertions, 78 deletions
diff --git a/absl/base/BUILD.bazel b/absl/base/BUILD.bazel
index 35cb2e94..745a598f 100644
--- a/absl/base/BUILD.bazel
+++ b/absl/base/BUILD.bazel
@@ -799,3 +799,16 @@ cc_test(
"@com_google_googletest//:gtest_main",
],
)
+
+cc_test(
+ name = "optimization_test",
+ size = "small",
+ srcs = ["optimization_test.cc"],
+ copts = ABSL_TEST_COPTS,
+ linkopts = ABSL_DEFAULT_LINKOPTS,
+ deps = [
+ ":core_headers",
+ "//absl/types:optional",
+ "@com_google_googletest//:gtest_main",
+ ],
+)
diff --git a/absl/base/CMakeLists.txt b/absl/base/CMakeLists.txt
index b7c01c99..b43843cc 100644
--- a/absl/base/CMakeLists.txt
+++ b/absl/base/CMakeLists.txt
@@ -701,3 +701,15 @@ absl_cc_test(
absl::fast_type_id
gtest_main
)
+
+absl_cc_test(
+ NAME
+ optimization_test
+ SRCS
+ "optimization_test.cc"
+ COPTS
+ ${ABSL_TEST_COPTS}
+ DEPS
+ absl::core_headers
+ gtest_main
+)
diff --git a/absl/base/optimization_test.cc b/absl/base/optimization_test.cc
new file mode 100644
index 00000000..62b35666
--- /dev/null
+++ b/absl/base/optimization_test.cc
@@ -0,0 +1,136 @@
+// Copyright 2020 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.
+
+// This test serves primarily as a compilation test for base/raw_logging.h.
+// Raw logging testing is covered by logging_unittest.cc, which is not as
+// portable as this test.
+
+#include "absl/base/optimization.h"
+
+#include "gtest/gtest.h"
+#include "absl/types/optional.h"
+
+namespace {
+
+// Tests for the ABSL_PREDICT_TRUE and ABSL_PREDICT_FALSE macros.
+// The tests only verify that the macros are functionally correct - i.e. code
+// behaves as if they weren't used. They don't try to check their impact on
+// optimization.
+
+TEST(PredictTest, PredictTrue) {
+ EXPECT_TRUE(ABSL_PREDICT_TRUE(true));
+ EXPECT_FALSE(ABSL_PREDICT_TRUE(false));
+ EXPECT_TRUE(ABSL_PREDICT_TRUE(1 == 1));
+ EXPECT_FALSE(ABSL_PREDICT_TRUE(1 == 2));
+
+ if (ABSL_PREDICT_TRUE(false)) ADD_FAILURE();
+ if (!ABSL_PREDICT_TRUE(true)) ADD_FAILURE();
+
+ EXPECT_TRUE(ABSL_PREDICT_TRUE(true) && true);
+ EXPECT_TRUE(ABSL_PREDICT_TRUE(true) || false);
+}
+
+TEST(PredictTest, PredictFalse) {
+ EXPECT_TRUE(ABSL_PREDICT_FALSE(true));
+ EXPECT_FALSE(ABSL_PREDICT_FALSE(false));
+ EXPECT_TRUE(ABSL_PREDICT_FALSE(1 == 1));
+ EXPECT_FALSE(ABSL_PREDICT_FALSE(1 == 2));
+
+ if (ABSL_PREDICT_FALSE(false)) ADD_FAILURE();
+ if (!ABSL_PREDICT_FALSE(true)) ADD_FAILURE();
+
+ EXPECT_TRUE(ABSL_PREDICT_FALSE(true) && true);
+ EXPECT_TRUE(ABSL_PREDICT_FALSE(true) || false);
+}
+
+TEST(PredictTest, OneEvaluation) {
+ // Verify that the expression is only evaluated once.
+ int x = 0;
+ if (ABSL_PREDICT_TRUE((++x) == 0)) ADD_FAILURE();
+ EXPECT_EQ(x, 1);
+ if (ABSL_PREDICT_FALSE((++x) == 0)) ADD_FAILURE();
+ EXPECT_EQ(x, 2);
+}
+
+TEST(PredictTest, OperatorOrder) {
+ // Verify that operator order inside and outside the macro behaves well.
+ // These would fail for a naive '#define ABSL_PREDICT_TRUE(x) x'
+ EXPECT_TRUE(ABSL_PREDICT_TRUE(1 && 2) == true);
+ EXPECT_TRUE(ABSL_PREDICT_FALSE(1 && 2) == true);
+ EXPECT_TRUE(!ABSL_PREDICT_TRUE(1 == 2));
+ EXPECT_TRUE(!ABSL_PREDICT_FALSE(1 == 2));
+}
+
+TEST(PredictTest, Pointer) {
+ const int x = 3;
+ const int *good_intptr = &x;
+ const int *null_intptr = nullptr;
+ EXPECT_TRUE(ABSL_PREDICT_TRUE(good_intptr));
+ EXPECT_FALSE(ABSL_PREDICT_TRUE(null_intptr));
+ // The following doesn't compile:
+ // EXPECT_TRUE(ABSL_PREDICT_FALSE(good_intptr));
+ // EXPECT_FALSE(ABSL_PREDICT_FALSE(null_intptr));
+}
+
+TEST(PredictTest, Optional) {
+ // Note: An optional's truth value is the value's existence, not its truth.
+ absl::optional<bool> has_value(false);
+ absl::optional<bool> no_value;
+ EXPECT_TRUE(ABSL_PREDICT_TRUE(has_value));
+ EXPECT_FALSE(ABSL_PREDICT_TRUE(no_value));
+ // The following doesn't compile:
+ // EXPECT_TRUE(ABSL_PREDICT_FALSE(has_value));
+ // EXPECT_FALSE(ABSL_PREDICT_FALSE(no_value));
+}
+
+class ImplictlyConvertibleToBool {
+ public:
+ explicit ImplictlyConvertibleToBool(bool value) : value_(value) {}
+ operator bool() const { // NOLINT(google-explicit-constructor)
+ return value_;
+ }
+
+ private:
+ bool value_;
+};
+
+TEST(PredictTest, ImplicitBoolConversion) {
+ const ImplictlyConvertibleToBool is_true(true);
+ const ImplictlyConvertibleToBool is_false(false);
+ if (!ABSL_PREDICT_TRUE(is_true)) ADD_FAILURE();
+ if (ABSL_PREDICT_TRUE(is_false)) ADD_FAILURE();
+ if (!ABSL_PREDICT_FALSE(is_true)) ADD_FAILURE();
+ if (ABSL_PREDICT_FALSE(is_false)) ADD_FAILURE();
+}
+
+class ExplictlyConvertibleToBool {
+ public:
+ explicit ExplictlyConvertibleToBool(bool value) : value_(value) {}
+ explicit operator bool() const { return value_; }
+
+ private:
+ bool value_;
+};
+
+TEST(PredictTest, ExplicitBoolConversion) {
+ const ExplictlyConvertibleToBool is_true(true);
+ const ExplictlyConvertibleToBool is_false(false);
+ if (!ABSL_PREDICT_TRUE(is_true)) ADD_FAILURE();
+ if (ABSL_PREDICT_TRUE(is_false)) ADD_FAILURE();
+ // The following doesn't compile:
+ // if (!ABSL_PREDICT_FALSE(is_true)) ADD_FAILURE();
+ // if (ABSL_PREDICT_FALSE(is_false)) ADD_FAILURE();
+}
+
+} // namespace
diff --git a/absl/numeric/BUILD.bazel b/absl/numeric/BUILD.bazel
index e09e52d2..da3af4d0 100644
--- a/absl/numeric/BUILD.bazel
+++ b/absl/numeric/BUILD.bazel
@@ -35,6 +35,7 @@ cc_library(
copts = ABSL_DEFAULT_COPTS,
linkopts = ABSL_DEFAULT_LINKOPTS,
deps = [
+ "//absl/base:bits",
"//absl/base:config",
"//absl/base:core_headers",
],
diff --git a/absl/numeric/CMakeLists.txt b/absl/numeric/CMakeLists.txt
index 242889f0..1e12d80f 100644
--- a/absl/numeric/CMakeLists.txt
+++ b/absl/numeric/CMakeLists.txt
@@ -26,6 +26,7 @@ absl_cc_library(
COPTS
${ABSL_DEFAULT_COPTS}
DEPS
+ absl::bits
absl::config
absl::core_headers
PUBLIC
diff --git a/absl/numeric/int128.cc b/absl/numeric/int128.cc
index b605a870..e21e5e9a 100644
--- a/absl/numeric/int128.cc
+++ b/absl/numeric/int128.cc
@@ -15,6 +15,7 @@
#include "absl/numeric/int128.h"
#include <stddef.h>
+
#include <cassert>
#include <iomanip>
#include <ostream> // NOLINT(readability/streams)
@@ -22,6 +23,9 @@
#include <string>
#include <type_traits>
+#include "absl/base/internal/bits.h"
+#include "absl/base/optimization.h"
+
namespace absl {
ABSL_NAMESPACE_BEGIN
@@ -31,44 +35,26 @@ ABSL_DLL const uint128 kuint128max = MakeUint128(
namespace {
// Returns the 0-based position of the last set bit (i.e., most significant bit)
-// in the given uint64_t. The argument may not be 0.
+// in the given uint128. The argument is not 0.
//
// For example:
// Given: 5 (decimal) == 101 (binary)
// Returns: 2
-#define STEP(T, n, pos, sh) \
- do { \
- if ((n) >= (static_cast<T>(1) << (sh))) { \
- (n) = (n) >> (sh); \
- (pos) |= (sh); \
- } \
- } while (0)
-static inline int Fls64(uint64_t n) {
- assert(n != 0);
- int pos = 0;
- STEP(uint64_t, n, pos, 0x20);
- uint32_t n32 = static_cast<uint32_t>(n);
- STEP(uint32_t, n32, pos, 0x10);
- STEP(uint32_t, n32, pos, 0x08);
- STEP(uint32_t, n32, pos, 0x04);
- return pos + ((uint64_t{0x3333333322221100} >> (n32 << 2)) & 0x3);
-}
-#undef STEP
-
-// Like Fls64() above, but returns the 0-based position of the last set bit
-// (i.e., most significant bit) in the given uint128. The argument may not be 0.
-static inline int Fls128(uint128 n) {
+inline ABSL_ATTRIBUTE_ALWAYS_INLINE int Fls128(uint128 n) {
if (uint64_t hi = Uint128High64(n)) {
- return Fls64(hi) + 64;
+ ABSL_INTERNAL_ASSUME(hi != 0);
+ return 127 - base_internal::CountLeadingZeros64(hi);
}
- return Fls64(Uint128Low64(n));
+ const uint64_t low = Uint128Low64(n);
+ ABSL_INTERNAL_ASSUME(low != 0);
+ return 63 - base_internal::CountLeadingZeros64(low);
}
// Long division/modulo for uint128 implemented using the shift-subtract
// division algorithm adapted from:
// https://stackoverflow.com/questions/5386377/division-without-using
-void DivModImpl(uint128 dividend, uint128 divisor, uint128* quotient_ret,
- uint128* remainder_ret) {
+inline void DivModImpl(uint128 dividend, uint128 divisor, uint128* quotient_ret,
+ uint128* remainder_ret) {
assert(divisor != 0);
if (divisor > dividend) {
diff --git a/absl/numeric/int128_benchmark.cc b/absl/numeric/int128_benchmark.cc
index a5502d92..eab1515c 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));
diff --git a/absl/random/seed_sequences_test.cc b/absl/random/seed_sequences_test.cc
index 2cc8b0e6..fe1100bd 100644
--- a/absl/random/seed_sequences_test.cc
+++ b/absl/random/seed_sequences_test.cc
@@ -96,7 +96,6 @@ template <typename URBG>
void TestReproducibleVariateSequencesForNonsecureURBG() {
const size_t kNumVariates = 1000;
- // Master RNG instance.
URBG rng;
// Reused for both RNG instances.
auto reusable_seed = absl::CreateSeedSeqFrom(&rng);
generated by cgit v1.2.3 (git 2.39.1) at 2024-06-29 05:07:27 +0000