Add debug print statements in hedging_preset.py to output player and lineup data during processing. Adjusted lineup target calculations to use list size directly, enhancing clarity in the lineup generation logic.

global_func/hedging_preset.py

@@ -15,6 +15,7 @@ def hedging_preset(portfolio: pd.DataFrame, lineup_target: int, projections_file
     concat_portfolio = pd.DataFrame(columns=portfolio.columns)
 
     for players in top_owned:
+        print(players)
         working_df = portfolio.copy()
 
         # Create mask for lineups that contain any of the removed players
@@ -28,10 +29,12 @@ def hedging_preset(portfolio: pd.DataFrame, lineup_target: int, projections_file
         )
 
         removed_df = working_df[remove_mask]
+        print(removed_df.head(10))
         locked_df = working_df[lock_mask]
+        print(locked_df.head(10))
 
-        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)
+        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)
 
         concat_portfolio = pd.concat([concat_portfolio, removed_lineups, locked_lineups])