remove two variables

which were not really used and resulted in linter error

src/monitoring_tests/combinatorial_auction_surplus_test.py

@@ -48,7 +48,6 @@ def run_combinatorial_auction(self, competition_data: dict[str, Any]) -> bool:
         """
 
         solutions = competition_data["solutions"]
-        winning_solution = competition_data["solutions"][-1]
 
         aggregate_solutions: list[dict[tuple[str, str], Fraction]] = []
         for solution in solutions:
@@ -59,8 +58,6 @@ def run_combinatorial_auction(self, competition_data: dict[str, Any]) -> bool:
                 return False
             aggregate_solutions.append(aggregate_solution)
 
-        winning_aggregate_solution = aggregate_solutions[-1]
-
         baseline_surplus = self.compute_baseline_surplus(aggregate_solutions)
         filter_mask = self.filter_solutions(aggregate_solutions, baseline_surplus)
         winning_solutions = self.determine_winning_solutions(
@@ -80,18 +77,16 @@ def run_combinatorial_auction(self, competition_data: dict[str, Any]) -> bool:
             sum(surplus for _, surplus in token_pair_surplus.items())
             for _, token_pair_surplus in winning_solvers.items()
         )
-        total_surplus = sum(
-            surplus for _, surplus in winning_aggregate_solution.items()
-        )
+        total_surplus = sum(surplus for _, surplus in aggregate_solutions[-1].items())
 
         a_abs_eth = total_combinatorial_surplus - total_surplus
 
         log_output = "\t".join(
             [
                 "Combinatorial auction surplus test:",
                 f"Tx Hash: {competition_data['transactionHash']}",
-                f"Winning Solver: {winning_solution['solver']}",
-                f"Winning surplus: {self.convert_fractions_to_floats(winning_aggregate_solution)}",
+                f"Winning Solver: {competition_data['solutions'][-1]['solver']}",
+                f"Winning surplus: {self.convert_fractions_to_floats(aggregate_solutions[-1])}",
                 f"Baseline surplus: {self.convert_fractions_to_floats(baseline_surplus)}",
                 f"Solutions filtering winner: {filter_mask[-1]}",
                 f"Solvers filtering winner: {solutions_filtering_winner}",