| // Copyright (c) 2011 The Chromium Authors. All rights reserved. | |
| // Use of this source code is governed by a BSD-style license that can be | |
| // found in the LICENSE file. | |
| #include "base/rand_util.h" | |
| #include <algorithm> | |
| #include <limits> | |
| #include <gtest/gtest.h> | |
| #include "base/logging.h" | |
| #include "base/memory/scoped_ptr.h" | |
| #include "base/time/time.h" | |
| namespace { | |
| const int kIntMin = std::numeric_limits<int>::min(); | |
| const int kIntMax = std::numeric_limits<int>::max(); | |
| } // namespace | |
| TEST(RandUtilTest, SameMinAndMax) { | |
| EXPECT_EQ(base::RandInt(0, 0), 0); | |
| EXPECT_EQ(base::RandInt(kIntMin, kIntMin), kIntMin); | |
| EXPECT_EQ(base::RandInt(kIntMax, kIntMax), kIntMax); | |
| } | |
| TEST(RandUtilTest, RandDouble) { | |
| // Force 64-bit precision, making sure we're not in a 80-bit FPU register. | |
| volatile double number = base::RandDouble(); | |
| EXPECT_GT(1.0, number); | |
| EXPECT_LE(0.0, number); | |
| } | |
| TEST(RandUtilTest, RandBytes) { | |
| const size_t buffer_size = 50; | |
| char buffer[buffer_size]; | |
| memset(buffer, 0, buffer_size); | |
| base::RandBytes(buffer, buffer_size); | |
| std::sort(buffer, buffer + buffer_size); | |
| // Probability of occurrence of less than 25 unique bytes in 50 random bytes | |
| // is below 10^-25. | |
| EXPECT_GT(std::unique(buffer, buffer + buffer_size) - buffer, 25); | |
| } | |
| TEST(RandUtilTest, RandBytesAsString) { | |
| std::string random_string = base::RandBytesAsString(1); | |
| EXPECT_EQ(1U, random_string.size()); | |
| random_string = base::RandBytesAsString(145); | |
| EXPECT_EQ(145U, random_string.size()); | |
| char accumulator = 0; | |
| for (size_t i = 0; i < random_string.size(); ++i) | |
| accumulator |= random_string[i]; | |
| // In theory this test can fail, but it won't before the universe dies of | |
| // heat death. | |
| EXPECT_NE(0, accumulator); | |
| } | |
| // Make sure that it is still appropriate to use RandGenerator in conjunction | |
| // with std::random_shuffle(). | |
| TEST(RandUtilTest, RandGeneratorForRandomShuffle) { | |
| EXPECT_EQ(base::RandGenerator(1), 0U); | |
| EXPECT_LE(std::numeric_limits<ptrdiff_t>::max(), | |
| std::numeric_limits<int64>::max()); | |
| } | |
| TEST(RandUtilTest, RandGeneratorIsUniform) { | |
| // Verify that RandGenerator has a uniform distribution. This is a | |
| // regression test that consistently failed when RandGenerator was | |
| // implemented this way: | |
| // | |
| // return base::RandUint64() % max; | |
| // | |
| // A degenerate case for such an implementation is e.g. a top of | |
| // range that is 2/3rds of the way to MAX_UINT64, in which case the | |
| // bottom half of the range would be twice as likely to occur as the | |
| // top half. A bit of calculus care of jar@ shows that the largest | |
| // measurable delta is when the top of the range is 3/4ths of the | |
| // way, so that's what we use in the test. | |
| const uint64 kTopOfRange = (std::numeric_limits<uint64>::max() / 4ULL) * 3ULL; | |
| const uint64 kExpectedAverage = kTopOfRange / 2ULL; | |
| const uint64 kAllowedVariance = kExpectedAverage / 50ULL; // +/- 2% | |
| const int kMinAttempts = 1000; | |
| const int kMaxAttempts = 1000000; | |
| double cumulative_average = 0.0; | |
| int count = 0; | |
| while (count < kMaxAttempts) { | |
| uint64 value = base::RandGenerator(kTopOfRange); | |
| cumulative_average = (count * cumulative_average + value) / (count + 1); | |
| // Don't quit too quickly for things to start converging, or we may have | |
| // a false positive. | |
| if (count > kMinAttempts && | |
| kExpectedAverage - kAllowedVariance < cumulative_average && | |
| cumulative_average < kExpectedAverage + kAllowedVariance) { | |
| break; | |
| } | |
| ++count; | |
| } | |
| ASSERT_LT(count, kMaxAttempts) << "Expected average was " << | |
| kExpectedAverage << ", average ended at " << cumulative_average; | |
| } | |
| TEST(RandUtilTest, RandUint64ProducesBothValuesOfAllBits) { | |
| // This tests to see that our underlying random generator is good | |
| // enough, for some value of good enough. | |
| uint64 kAllZeros = 0ULL; | |
| uint64 kAllOnes = ~kAllZeros; | |
| uint64 found_ones = kAllZeros; | |
| uint64 found_zeros = kAllOnes; | |
| for (size_t i = 0; i < 1000; ++i) { | |
| uint64 value = base::RandUint64(); | |
| found_ones |= value; | |
| found_zeros &= value; | |
| if (found_zeros == kAllZeros && found_ones == kAllOnes) | |
| return; | |
| } | |
| FAIL() << "Didn't achieve all bit values in maximum number of tries."; | |
| } |