set unsolved_count score =0

neurogolf_solver/submission.py

@@ -101,15 +101,14 @@ def generate_submission(output_dir, results, costs_dict, active_tasks):
     # 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())
-    est_lb = total_score + unsolved_count * 1.0
-
+   
     return {
         'n_files': n_files,
         'total_size': total_size,
         'zip_path': zip_path,
         'zip_size': zip_size,
         'csv_path': csv_path,
-        'est_lb': est_lb,
+        'est_lb': total_score,
         'total_score': total_score,
         'unsolved_count': unsolved_count,
     }
@@ -130,5 +129,5 @@ def print_summary(results, submission_info, elapsed):
     zip_ok = 'OK' if submission_info['zip_size'] <= MAX_FILESIZE else 'OVER!'
     print(f"ZIP size: {submission_info['zip_size'] / 1024:.1f} KB / {MAX_FILESIZE / 1024:.0f} KB limit {zip_ok}")
     print(f"Estimated LB score: {submission_info['est_lb']:.1f} "
-          f"(solved: {submission_info['total_score']:.1f} + unsolved: {submission_info['unsolved_count']}x1.0)")
+          f"(solved: {submission_info['total_score']:.1f} unsolved: {submission_info['unsolved_count']})")
     print(f"Written: {submission_info['zip_path']} | {submission_info['csv_path']}")