Refine player selection in 'exposure_spread' by incorporating salary constraints for specific replacements, enhancing the precision of lineup generation.

global_func/exposure_spread.py

@@ -263,7 +263,9 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
         for row in random_row_indices_replace:
             if change_counter < math.ceil(lineups_to_add):
                 if specific_replacements != []:
-                    comparable_players = projections_df[projections_df['player_names'].isin(specific_replacements)]
+                    comparable_players = projections_df[(projections_df['player_names'].isin(specific_replacements)) &
+                        (projections_df['salary'] <= comp_salary_high + (salary_max - working_frame['salary'][row]))
+                    ]
                 else:
                     comparable_players = projections_df[
                         (projections_df['salary'] >= comp_salary_low) &