Snap for 8512216 from 7563023510bf04108a954596ea9393a4c11ac279 to tm-frc-neuralnetworks-releaset_frc_neu_330443030t_frc_neu_330443000android13-frc-neuralnetworks-release

Change-Id: I04b3e6ce8b80719275a139e817e31d2f74d409b0

1 files changed, 5 insertions, 2 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 5270531d20..5e780d96d3 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
@@ -27,6 +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();