importitertoolsimporttimedefperformance_test(n_options=5,n_items=5,iterations=50):list= []defexpensive_operation():# Create lists of tuplesdata= []for_inrange(n_options):data.append([(f"a{i}",f"b{i}")foriinrange(n_items)])# Generate all combinations and create result tuplesresults= []forcomboinitertools.product(*data):result=tuple((x[0],x[1],f"name_{i}")fori,xinenumerate(combo))results.append(result)# Commenting the following line solves the performance regression in free-threaded modelist.append(results)returnresultsstart=time.time()for_inrange(iterations):result=expensive_operation()duration=time.time()-startprint(f"n_options={n_options}, n_items={n_items}, iterations={iterations}")print(f"Time:{duration:.4f}s, Combinations:{len(result)}")returndurationif__name__=="__main__":print("Python Performance Regression Test")print("-"*40)performance_test()