Adjust lineup target calculations in hedging_preset.py to divide by double the list size, improving accuracy in lineup generation. This change enhances the filtering process for both removed and locked lineups.

global_func/hedging_preset.py

@@ -33,8 +33,8 @@ def hedging_preset(portfolio: pd.DataFrame, lineup_target: int, projections_file
         locked_df = working_df[lock_mask]
         print(locked_df.head(10))
 
-        removed_lineups = small_field_preset(removed_df, math.ceil(lineup_target / list_size), excluded_cols)
-        locked_lineups = large_field_preset(locked_df, math.ceil(lineup_target / list_size), excluded_cols)
+        removed_lineups = small_field_preset(removed_df, math.ceil(lineup_target / (list_size * 2)), excluded_cols)
+        locked_lineups = large_field_preset(locked_df, math.ceil(lineup_target / (list_size * 2)), excluded_cols)
 
         concat_portfolio = pd.concat([concat_portfolio, removed_lineups, locked_lineups])