fix: Gtest fix

.github/workflows/vendor_build.yml

@@ -48,7 +48,7 @@ jobs:
           -DVW_INSTALL=Off
           -DWARNINGS=On
           -DWARNING_AS_ERROR=On
-          -DUSE_LATEST_STD=On
+          -DVW_CXX_STANDARD=17
       - name: Build
         run: cmake --build build
       - name: Unit tests

vowpalwabbit/core/include/vw/core/named_labels.h

@@ -6,6 +6,7 @@
 #include "vw/common/string_view.h"
 #include "vw/core/vw_fwd.h"
 
+#include <cstdint>
 #include <string>
 #include <unordered_map>
 #include <vector>

vowpalwabbit/core/include/vw/core/reductions/epsilon_decay.h

@@ -27,10 +27,9 @@ class epsilon_decay_data
 {
 public:
   epsilon_decay_data(uint64_t model_count, uint64_t min_scope, double epsilon_decay_significance_level,
-      double epsilon_decay_estimator_decay, dense_parameters& weights, std::string epsilon_decay_audit_str,
-      bool constant_epsilon, uint32_t& feature_width, uint64_t _min_champ_examples, float initial_epsilon,
-      uint64_t shift_model_bounds, bool reward_as_cost, double tol_x, bool is_brentq, bool predict_only_model,
-      bool challenger_epsilon);
+      dense_parameters& weights, std::string epsilon_decay_audit_str, bool constant_epsilon, uint32_t& feature_width,
+      uint64_t _min_champ_examples, float initial_epsilon, uint64_t shift_model_bounds, bool reward_as_cost,
+      double tol_x, bool is_brentq, bool predict_only_model, bool challenger_epsilon);
   void update_weights(float init_ep, VW::LEARNER::learner& base, VW::multi_ex& examples);
   void promote_model(int64_t model_ind, int64_t swap_dist);
   void rebalance_greater_models(int64_t model_ind, int64_t swap_dist, int64_t model_count);
@@ -44,7 +43,6 @@ class epsilon_decay_data
   uint64_t _model_count;
   uint64_t _min_scope;
   double _epsilon_decay_significance_level;  // Confidence interval
-  double _epsilon_decay_estimator_decay;     // Count decay time constant
   dense_parameters& _weights;
   std::string _epsilon_decay_audit_str;
   std::stringstream _audit_msg;

vowpalwabbit/core/src/reductions/epsilon_decay.cc

@@ -36,14 +36,13 @@ float decayed_epsilon(float init_ep, uint64_t update_count)
 }
 
 epsilon_decay_data::epsilon_decay_data(uint64_t model_count, uint64_t min_scope,
-    double epsilon_decay_significance_level, double epsilon_decay_estimator_decay, dense_parameters& weights,
-    std::string epsilon_decay_audit_str, bool constant_epsilon, uint32_t& feature_width, uint64_t min_champ_examples,
-    float initial_epsilon, uint64_t shift_model_bounds, bool reward_as_cost, double tol_x, bool is_brentq,
-    bool predict_only_model, bool challenger_epsilon)
+    double epsilon_decay_significance_level, dense_parameters& weights, std::string epsilon_decay_audit_str,
+    bool constant_epsilon, uint32_t& feature_width, uint64_t min_champ_examples, float initial_epsilon,
+    uint64_t shift_model_bounds, bool reward_as_cost, double tol_x, bool is_brentq, bool predict_only_model,
+    bool challenger_epsilon)
     : _model_count(model_count)
     , _min_scope(min_scope)
     , _epsilon_decay_significance_level(epsilon_decay_significance_level)
-    , _epsilon_decay_estimator_decay(epsilon_decay_estimator_decay)
     , _weights(weights)
     , _epsilon_decay_audit_str(std::move(epsilon_decay_audit_str))
     , _constant_epsilon(constant_epsilon)
@@ -345,7 +344,6 @@ std::shared_ptr<VW::LEARNER::learner> VW::reductions::epsilon_decay_setup(VW::se
   uint64_t model_count;
   uint64_t min_scope;
   float epsilon_decay_significance_level;
-  float epsilon_decay_estimator_decay;
   std::string epsilon_decay_audit_str;
   bool constant_epsilon = false;
   uint64_t bonferroni_denominator;
@@ -439,9 +437,9 @@ std::shared_ptr<VW::LEARNER::learner> VW::reductions::epsilon_decay_setup(VW::se
   bool is_brentq = opt_func == "brentq";
 
   auto data = VW::make_unique<VW::reductions::epsilon_decay::epsilon_decay_data>(model_count, min_scope,
-      epsilon_decay_significance_level, epsilon_decay_estimator_decay, all.weights.dense_weights,
-      epsilon_decay_audit_str, constant_epsilon, all.reduction_state.total_feature_width, min_champ_examples,
-      initial_epsilon, shift_model_bounds, reward_as_cost, tol_x, is_brentq, predict_only_model, challenger_epsilon);
+      epsilon_decay_significance_level, all.weights.dense_weights, epsilon_decay_audit_str, constant_epsilon,
+      all.reduction_state.total_feature_width, min_champ_examples, initial_epsilon, shift_model_bounds, reward_as_cost,
+      tol_x, is_brentq, predict_only_model, challenger_epsilon);
 
   // make sure we setup the rest of the stack with cleared interactions
   // to make sure there are not subtle bugs

vowpalwabbit/core/tests/epsilon_decay_test.cc

@@ -255,7 +255,7 @@ TEST(EpsilonDecay, ScoreBoundsUnit)
   uint32_t feature_width = 8;
   VW::dense_parameters dense_weights(num_models);
   epsilon_decay_data ep_data(
-      num_models, 100, .05, .1, dense_weights, "", false, feature_width, 0, 1.f, 0, false, 1e-6, "bisect", false, true);
+      num_models, 100, .05, dense_weights, "", false, feature_width, 0, 1.f, 0, false, 1e-6, "bisect", false, true);
 
   // Set update counts to fixed values with expected horizon bound violation
   size_t score_idx = 0;
@@ -341,7 +341,7 @@ TEST(EpsilonDecay, HorizonBoundsUnit)
   uint32_t feature_width = 8;
   VW::dense_parameters dense_weights(num_models);
   epsilon_decay_data ep_data(
-      num_models, 100, .05, .1, dense_weights, "", false, feature_width, 0, 1.f, 0, false, 1e-6, "bisect", false, true);
+      num_models, 100, .05, dense_weights, "", false, feature_width, 0, 1.f, 0, false, 1e-6, "bisect", false, true);
 
   // Set update counts to fixed values with expected horizon bound violation
   size_t score_idx = 0;