Fix: unsolved_count × 0 in est_lb — only count solved score

neurogolf_solver/submission.py

@@ -108,7 +108,6 @@ def generate_submission(output_dir, results, costs_dict, active_tasks):
         for tn in sorted(costs_dict.keys()):
             w.writerow([f'task{tn:03d}', costs_dict[tn]])
 
-    # Calculate estimated LB score
     unsolved_count = len(active_tasks) - len(results)
     total_score = sum(max(1.0, 25.0 - math.log(max(1, cost))) for cost in costs_dict.values())
 
@@ -118,7 +117,6 @@ def generate_submission(output_dir, results, costs_dict, active_tasks):
         'zip_path': zip_path,
         'zip_size': zip_size,
         'csv_path': csv_path,
-        'est_lb': total_score + unsolved_count * 1.0,
         'total_score': total_score,
         'unsolved_count': unsolved_count,
         'oversized': oversized,
@@ -144,6 +142,6 @@ def print_summary(results, submission_info, elapsed):
         for f, sz in submission_info['oversized']:
             print(f"  {f}: {sz / 1024:.1f} KB")
 
-    print(f"Estimated LB score: {submission_info['est_lb']:.1f} "
-          f"(solved: {submission_info['total_score']:.1f} + unsolved: {submission_info['unsolved_count']}x1.0)")
+    print(f"Estimated LB score: {submission_info['total_score']:.1f}")
+    print(f"Solved: {len(results)} | Unsolved: {submission_info['unsolved_count']}")
     print(f"Written: {submission_info['zip_path']} | {submission_info['csv_path']}")