123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899 |
- // 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 <cinttypes>
- #include <random>
- #include <sstream>
- #include <vector>
- #include "gtest/gtest.h"
- #include "absl/random/random.h"
- template <typename T>
- void Use(T) {}
- TEST(Examples, Basic) {
- absl::BitGen gen;
- std::vector<int> objs = {10, 20, 30, 40, 50};
- // Choose an element from a set.
- auto elem = objs[absl::Uniform(gen, 0u, objs.size())];
- Use(elem);
- // Generate a uniform value between 1 and 6.
- auto dice_roll = absl::Uniform<int>(absl::IntervalClosedClosed, gen, 1, 6);
- Use(dice_roll);
- // Generate a random byte.
- auto byte = absl::Uniform<uint8_t>(gen);
- Use(byte);
- // Generate a fractional value from [0f, 1f).
- auto fraction = absl::Uniform<float>(gen, 0, 1);
- Use(fraction);
- // Toss a fair coin; 50/50 probability.
- bool coin_toss = absl::Bernoulli(gen, 0.5);
- Use(coin_toss);
- // Select a file size between 1k and 10MB, biased towards smaller file sizes.
- auto file_size = absl::LogUniform<size_t>(gen, 1000, 10 * 1000 * 1000);
- Use(file_size);
- // Randomize (shuffle) a collection.
- std::shuffle(std::begin(objs), std::end(objs), gen);
- }
- TEST(Examples, CreateingCorrelatedVariateSequences) {
- // Unexpected PRNG correlation is often a source of bugs,
- // so when using absl::BitGen it must be an intentional choice.
- // NOTE: All of these only exhibit process-level stability.
- // Create a correlated sequence from system entropy.
- {
- auto my_seed = absl::MakeSeedSeq();
- absl::BitGen gen_1(my_seed);
- absl::BitGen gen_2(my_seed); // Produces same variates as gen_1.
- EXPECT_EQ(absl::Bernoulli(gen_1, 0.5), absl::Bernoulli(gen_2, 0.5));
- EXPECT_EQ(absl::Uniform<uint32_t>(gen_1), absl::Uniform<uint32_t>(gen_2));
- }
- // Create a correlated sequence from an existing URBG.
- {
- absl::BitGen gen;
- auto my_seed = absl::CreateSeedSeqFrom(&gen);
- absl::BitGen gen_1(my_seed);
- absl::BitGen gen_2(my_seed);
- EXPECT_EQ(absl::Bernoulli(gen_1, 0.5), absl::Bernoulli(gen_2, 0.5));
- EXPECT_EQ(absl::Uniform<uint32_t>(gen_1), absl::Uniform<uint32_t>(gen_2));
- }
- // An alternate construction which uses user-supplied data
- // instead of a random seed.
- {
- const char kData[] = "A simple seed string";
- std::seed_seq my_seed(std::begin(kData), std::end(kData));
- absl::BitGen gen_1(my_seed);
- absl::BitGen gen_2(my_seed);
- EXPECT_EQ(absl::Bernoulli(gen_1, 0.5), absl::Bernoulli(gen_2, 0.5));
- EXPECT_EQ(absl::Uniform<uint32_t>(gen_1), absl::Uniform<uint32_t>(gen_2));
- }
- }
|