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-rw-r--r--absl/random/log_uniform_int_distribution_test.cc7
1 files changed, 5 insertions, 2 deletions
diff --git a/absl/random/log_uniform_int_distribution_test.cc b/absl/random/log_uniform_int_distribution_test.cc
index 5270531d..5e780d96 100644
--- a/absl/random/log_uniform_int_distribution_test.cc
+++ b/absl/random/log_uniform_int_distribution_test.cc
@@ -27,6 +27,7 @@
#include "absl/base/internal/raw_logging.h"
#include "absl/random/internal/chi_square.h"
#include "absl/random/internal/distribution_test_util.h"
+#include "absl/random/internal/pcg_engine.h"
#include "absl/random/internal/sequence_urbg.h"
#include "absl/random/random.h"
#include "absl/strings/str_cat.h"
@@ -121,7 +122,10 @@ class LogUniformIntChiSquaredTest
// data generated by the log-uniform-int distribution.
double ChiSquaredTestImpl();
- absl::InsecureBitGen rng_;
+ // We use a fixed bit generator for distribution accuracy tests. This allows
+ // these tests to be deterministic, while still testing the qualify of the
+ // implementation.
+ absl::random_internal::pcg64_2018_engine rng_{0x2B7E151628AED2A6};
};
double LogUniformIntChiSquaredTest::ChiSquaredTestImpl() {
@@ -194,7 +198,6 @@ double LogUniformIntChiSquaredTest::ChiSquaredTestImpl() {
TEST_P(LogUniformIntChiSquaredTest, MultiTest) {
const int kTrials = 5;
-
int failures = 0;
for (int i = 0; i < kTrials; i++) {
double p_value = ChiSquaredTestImpl();