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| 1 // Copyright (c) 2011 The Chromium Authors. All rights reserved. | |
| 2 // Use of this source code is governed by a BSD-style license that can be | |
| 3 // found in the LICENSE file. | |
| 4 | |
| 5 #include "base/rand_util.h" | |
| 6 | |
| 7 #include <algorithm> | |
| 8 #include <limits> | |
| 9 | |
| 10 #include "base/logging.h" | |
| 11 #include "base/memory/scoped_ptr.h" | |
| 12 #include "base/time/time.h" | |
| 13 #include "testing/gtest/include/gtest/gtest.h" | |
| 14 | |
| 15 namespace { | |
| 16 | |
| 17 const int kIntMin = std::numeric_limits<int>::min(); | |
| 18 const int kIntMax = std::numeric_limits<int>::max(); | |
| 19 | |
| 20 } // namespace | |
| 21 | |
| 22 TEST(RandUtilTest, SameMinAndMax) { | |
| 23 EXPECT_EQ(base::RandInt(0, 0), 0); | |
| 24 EXPECT_EQ(base::RandInt(kIntMin, kIntMin), kIntMin); | |
| 25 EXPECT_EQ(base::RandInt(kIntMax, kIntMax), kIntMax); | |
| 26 } | |
| 27 | |
| 28 TEST(RandUtilTest, RandDouble) { | |
| 29 // Force 64-bit precision, making sure we're not in a 80-bit FPU register. | |
| 30 volatile double number = base::RandDouble(); | |
| 31 EXPECT_GT(1.0, number); | |
| 32 EXPECT_LE(0.0, number); | |
| 33 } | |
| 34 | |
| 35 TEST(RandUtilTest, RandBytes) { | |
| 36 const size_t buffer_size = 50; | |
| 37 char buffer[buffer_size]; | |
| 38 memset(buffer, 0, buffer_size); | |
| 39 base::RandBytes(buffer, buffer_size); | |
| 40 std::sort(buffer, buffer + buffer_size); | |
| 41 // Probability of occurrence of less than 25 unique bytes in 50 random bytes | |
| 42 // is below 10^-25. | |
| 43 EXPECT_GT(std::unique(buffer, buffer + buffer_size) - buffer, 25); | |
| 44 } | |
| 45 | |
| 46 TEST(RandUtilTest, RandBytesAsString) { | |
| 47 std::string random_string = base::RandBytesAsString(1); | |
| 48 EXPECT_EQ(1U, random_string.size()); | |
| 49 random_string = base::RandBytesAsString(145); | |
| 50 EXPECT_EQ(145U, random_string.size()); | |
| 51 char accumulator = 0; | |
| 52 for (size_t i = 0; i < random_string.size(); ++i) | |
| 53 accumulator |= random_string[i]; | |
| 54 // In theory this test can fail, but it won't before the universe dies of | |
| 55 // heat death. | |
| 56 EXPECT_NE(0, accumulator); | |
| 57 } | |
| 58 | |
| 59 // Make sure that it is still appropriate to use RandGenerator in conjunction | |
| 60 // with std::random_shuffle(). | |
| 61 TEST(RandUtilTest, RandGeneratorForRandomShuffle) { | |
| 62 EXPECT_EQ(base::RandGenerator(1), 0U); | |
| 63 EXPECT_LE(std::numeric_limits<ptrdiff_t>::max(), | |
| 64 std::numeric_limits<int64>::max()); | |
| 65 } | |
| 66 | |
| 67 TEST(RandUtilTest, RandGeneratorIsUniform) { | |
| 68 // Verify that RandGenerator has a uniform distribution. This is a | |
| 69 // regression test that consistently failed when RandGenerator was | |
| 70 // implemented this way: | |
| 71 // | |
| 72 // return base::RandUint64() % max; | |
| 73 // | |
| 74 // A degenerate case for such an implementation is e.g. a top of | |
| 75 // range that is 2/3rds of the way to MAX_UINT64, in which case the | |
| 76 // bottom half of the range would be twice as likely to occur as the | |
| 77 // top half. A bit of calculus care of jar@ shows that the largest | |
| 78 // measurable delta is when the top of the range is 3/4ths of the | |
| 79 // way, so that's what we use in the test. | |
| 80 const uint64 kTopOfRange = (std::numeric_limits<uint64>::max() / 4ULL) * 3ULL; | |
| 81 const uint64 kExpectedAverage = kTopOfRange / 2ULL; | |
| 82 const uint64 kAllowedVariance = kExpectedAverage / 50ULL; // +/- 2% | |
| 83 const int kMinAttempts = 1000; | |
| 84 const int kMaxAttempts = 1000000; | |
| 85 | |
| 86 double cumulative_average = 0.0; | |
| 87 int count = 0; | |
| 88 while (count < kMaxAttempts) { | |
| 89 uint64 value = base::RandGenerator(kTopOfRange); | |
| 90 cumulative_average = (count * cumulative_average + value) / (count + 1); | |
| 91 | |
| 92 // Don't quit too quickly for things to start converging, or we may have | |
| 93 // a false positive. | |
| 94 if (count > kMinAttempts && | |
| 95 kExpectedAverage - kAllowedVariance < cumulative_average && | |
| 96 cumulative_average < kExpectedAverage + kAllowedVariance) { | |
| 97 break; | |
| 98 } | |
| 99 | |
| 100 ++count; | |
| 101 } | |
| 102 | |
| 103 ASSERT_LT(count, kMaxAttempts) << "Expected average was " << | |
| 104 kExpectedAverage << ", average ended at " << cumulative_average; | |
| 105 } | |
| 106 | |
| 107 TEST(RandUtilTest, RandUint64ProducesBothValuesOfAllBits) { | |
| 108 // This tests to see that our underlying random generator is good | |
| 109 // enough, for some value of good enough. | |
| 110 uint64 kAllZeros = 0ULL; | |
| 111 uint64 kAllOnes = ~kAllZeros; | |
| 112 uint64 found_ones = kAllZeros; | |
| 113 uint64 found_zeros = kAllOnes; | |
| 114 | |
| 115 for (size_t i = 0; i < 1000; ++i) { | |
| 116 uint64 value = base::RandUint64(); | |
| 117 found_ones |= value; | |
| 118 found_zeros &= value; | |
| 119 | |
| 120 if (found_zeros == kAllZeros && found_ones == kAllOnes) | |
| 121 return; | |
| 122 } | |
| 123 | |
| 124 FAIL() << "Didn't achieve all bit values in maximum number of tries."; | |
| 125 } | |
| 126 | |
| 127 // Benchmark test for RandBytes(). Disabled since it's intentionally slow and | |
| 128 // does not test anything that isn't already tested by the existing RandBytes() | |
| 129 // tests. | |
| 130 TEST(RandUtilTest, DISABLED_RandBytesPerf) { | |
| 131 // Benchmark the performance of |kTestIterations| of RandBytes() using a | |
| 132 // buffer size of |kTestBufferSize|. | |
| 133 const int kTestIterations = 10; | |
| 134 const size_t kTestBufferSize = 1 * 1024 * 1024; | |
| 135 | |
| 136 scoped_ptr<uint8[]> buffer(new uint8[kTestBufferSize]); | |
| 137 const base::TimeTicks now = base::TimeTicks::Now(); | |
| 138 for (int i = 0; i < kTestIterations; ++i) | |
| 139 base::RandBytes(buffer.get(), kTestBufferSize); | |
| 140 const base::TimeTicks end = base::TimeTicks::Now(); | |
| 141 | |
| 142 LOG(INFO) << "RandBytes(" << kTestBufferSize << ") took: " | |
| 143 << (end - now).InMicroseconds() << "µs"; | |
| 144 } | |
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