| Index: base/rand_util_unittest.cc
|
| diff --git a/base/rand_util_unittest.cc b/base/rand_util_unittest.cc
|
| index d7fa37af827e8589299c4a066ef83308ca4a384a..f03c594e81b54a223e85f555a9f294b10039623f 100644
|
| --- a/base/rand_util_unittest.cc
|
| +++ b/base/rand_util_unittest.cc
|
| @@ -5,6 +5,7 @@
|
| #include "base/rand_util.h"
|
|
|
| #include <limits>
|
| +#include <vector>
|
|
|
| #include "testing/gtest/include/gtest/gtest.h"
|
|
|
| @@ -61,3 +62,63 @@ TEST(RandUtilTest, RandGeneratorForRandomShuffle) {
|
| 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.";
|
| +}
|
|
|