No-Typo-Check: Not related to this change. Bug: 161477208 Change-Id: I99e4780f6855b7045aa0cd5a49c13d2d0d51ed64
187 lines
5.8 KiB
C++
187 lines
5.8 KiB
C++
// Copyright 2019 Google LLC. All Rights Reserved. This file and proprietary
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// source code may only be used and distributed under the Widevine License
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// Agreement.
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#include "cdm_random.h"
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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#include <stdlib.h>
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#include <algorithm>
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#include <chrono>
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#include <limits>
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#include <string>
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#include <thread>
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#include <type_traits>
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#include <vector>
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namespace wvutil {
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namespace {
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// Random data vector lengths.
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constexpr size_t kVectorLength = 1024;
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constexpr size_t kMaxRandomDataLength =
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CdmRandomGenerator::kMaxRandomDataLength;
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constexpr size_t kAboveMaxRandomDataLength = std::numeric_limits<size_t>::max();
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constexpr size_t kRandomTrialCount = 100;
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constexpr size_t kThreadCount = 16;
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constexpr unsigned int kSeeds[] = {0, 1337, 1565904109, 776964657};
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class CdmRandomGeneratorTest : public testing::TestWithParam<unsigned int> {};
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} // namespace
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// Checks that the class CdmRandomGenerator meets the requirements of
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// UniformRandomBitGenerator.
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// ref: https://en.cppreference.com/w/cpp/named_req/UniformRandomBitGenerator
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TEST(CdmRandomGeneratorTest, UniformRandomBitGeneratorRequirements) {
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// Let G represent class CdmRandomGenerator, and g represent an instance
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// of CdmRandomGenerator.
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// 1) G::result_type is an unsigned integer (unspecified precision).
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EXPECT_TRUE(std::is_integral<CdmRandomGenerator::result_type>::value);
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EXPECT_TRUE(std::is_unsigned<CdmRandomGenerator::result_type>::value);
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// 2&3 a) G::min() and G::max() have the result type of G::result_type.
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EXPECT_TRUE((std::is_same<CdmRandomGenerator::result_type,
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decltype(CdmRandomGenerator::min())>::value));
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EXPECT_TRUE((std::is_same<CdmRandomGenerator::result_type,
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decltype(CdmRandomGenerator::max())>::value));
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// 2&3 b) G::min() is strictly less than G::max().
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EXPECT_LT(CdmRandomGenerator::min(), CdmRandomGenerator::max());
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// 4 a) g() have the result type of G::result_type.
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CdmRandomGenerator g;
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EXPECT_TRUE(
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(std::is_same<CdmRandomGenerator::result_type, decltype(g())>::value));
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// 4 b) g() is within [G::min() G::max()]
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std::vector<CdmRandomGenerator::result_type> values;
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for (size_t i = 0; i < kRandomTrialCount; ++i) {
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CdmRandomGenerator::result_type x = g();
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EXPECT_LE(CdmRandomGenerator::min(), x);
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EXPECT_GE(CdmRandomGenerator::max(), x);
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values.push_back(x);
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}
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// Verify compilation.
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// std::shuffle(RandomIt first, RandomIt last, URBG&& g) requires the
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// class URBG to meet "UniformRandomBitGenerator" requirements. This
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// will fail to compile if the requirements are not met.
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std::shuffle(values.begin(), values.end(), CdmRandomGenerator());
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}
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TEST_P(CdmRandomGeneratorTest, AllMethods) {
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const unsigned int seed = GetParam();
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CdmRandomGenerator rng;
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rng.Seed();
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rng.Seed(seed);
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rng.Rand();
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rng();
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rng.RandomInRange(1234, 1000000);
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rng.RandomInRange(1000000);
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rng.RandomData(kVectorLength);
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rng.RandomBool();
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}
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TEST_P(CdmRandomGeneratorTest, RandomInRange) {
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const unsigned int seed = GetParam();
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CdmRandomGenerator rng(seed);
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for (size_t i = 0; i < kRandomTrialCount; ++i) {
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const int rand_int = rng.Rand();
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EXPECT_GE(rand_int, 0);
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EXPECT_LE(rand_int, RAND_MAX);
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}
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// Range size of 1.
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const uint64_t rand_u64_1 = rng.RandomInRange(100, 100);
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EXPECT_EQ(rand_u64_1, 100ul);
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// Range size of 2.
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const uint64_t rand_u64_2 = rng.RandomInRange(1234, 1235);
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EXPECT_GE(rand_u64_2, 1234ul);
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EXPECT_LE(rand_u64_2, 1235ul);
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// Small range.
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const uint64_t rand_u64_3 = rng.RandomInRange(10);
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EXPECT_LE(rand_u64_3, 10ul);
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// Max range, mainly checking that nothing crashes.
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rng.RandomInRange(0, std::numeric_limits<uint64_t>::max());
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// Invalid range representation. Should swap the bounds.
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const uint64_t rand_u64_4 = rng.RandomInRange(1235, 1234);
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EXPECT_GE(rand_u64_4, 1234ul);
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EXPECT_LE(rand_u64_4, 1235ul);
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}
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TEST_P(CdmRandomGeneratorTest, RandomDataLength) {
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const unsigned int seed = GetParam();
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CdmRandomGenerator rng(seed);
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const std::string empty_data = rng.RandomData(0);
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EXPECT_EQ(empty_data.size(), 0ul);
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const std::string data = rng.RandomData(kVectorLength);
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EXPECT_EQ(data.size(), kVectorLength);
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const std::string max_data = rng.RandomData(kMaxRandomDataLength);
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EXPECT_EQ(max_data.size(), kMaxRandomDataLength);
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// Requesting data above the maximum length will result in an error,
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// returning an empty string.
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const std::string error_data = rng.RandomData(kAboveMaxRandomDataLength);
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EXPECT_EQ(error_data.size(), 0ul);
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}
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TEST_P(CdmRandomGeneratorTest, Reproducibility) {
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const unsigned int seed = GetParam();
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CdmRandomGenerator rng(seed);
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const std::string random_data_1 = rng.RandomData(kVectorLength);
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// Reset generator.
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rng.Seed(seed);
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const std::string random_data_2 = rng.RandomData(kVectorLength);
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EXPECT_EQ(random_data_1, random_data_2);
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}
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TEST_P(CdmRandomGeneratorTest, ThreadSafety) {
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const unsigned int seed = GetParam();
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CdmRandomGenerator rng(seed);
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bool barrier = true;
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auto thread_job = [&]() {
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while (barrier) {
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std::this_thread::sleep_for(std::chrono::microseconds(1));
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}
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for (size_t i = 0; i < kRandomTrialCount; ++i) {
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rng.Rand();
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}
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};
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std::vector<std::thread> threads;
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for (size_t i = 0; i < kThreadCount; ++i) {
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threads.push_back(std::thread(thread_job));
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}
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std::this_thread::sleep_for(std::chrono::microseconds(100));
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barrier = false;
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for (auto& thread : threads) {
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thread.join();
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}
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}
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INSTANTIATE_TEST_SUITE_P(VariousSeeds, CdmRandomGeneratorTest,
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testing::ValuesIn(kSeeds));
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TEST(CdmRandomTest, AllMethods) {
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CdmRandom::Rand();
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CdmRandom::RandomInRange(1234, 1000000);
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CdmRandom::RandomInRange(1000000);
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CdmRandom::RandomData(kVectorLength);
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CdmRandom::RandomBool();
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}
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} // namespace wvutil
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