1 files changed, 2 insertions, 5 deletions
diff --git a/third_party/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc b/third_party/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc
index 5e780d96d3..5270531d20 100644
--- a/third_party/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc
+++ b/third_party/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc
@@ -27,7 +27,6 @@
 #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"
@@ -122,10 +121,7 @@ class LogUniformIntChiSquaredTest
   // data generated by the log-uniform-int distribution.
   double ChiSquaredTestImpl();
 
-  // 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};
+  absl::InsecureBitGen rng_;
 };
 
 double LogUniformIntChiSquaredTest::ChiSquaredTestImpl() {
@@ -198,6 +194,7 @@ 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();