Add filtering for comparable players in exposure_spread.py based on team stacking for size 5 lineups, enhancing player selection accuracy.

global_func/exposure_spread.py

@@ -265,6 +265,12 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
                     (projections_df['salary'] <= comp_salary_high + (salary_max - working_frame['salary'][row])) &
                     (projections_df['position'].apply(lambda x: has_position_overlap(x, comp_player_position)))
                 ]
+
+                if row['Size'] == 5:
+                    remove_mask = comparable_players.apply(
+                        lambda row: not any(team in list(row) for team in working_frame['Stack'][row]), axis=1
+                    )
+                    comparable_players = comparable_players[remove_mask]
                 
                 if remove_teams is not None:
                     remove_mask = comparable_players.apply(