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."; |
+} |