Refactor player selection logic in 'exposure_spread' by removing redundant salary constraints for specific replacements, streamlining the lineup generation process.

global_func/exposure_spread.py

@@ -212,8 +212,7 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
         for row in random_row_indices_insert:
             if change_counter < math.ceil(lineups_to_remove):
                 if 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]))
+                    comparable_players = projections_df[(projections_df['player_names'].isin(specific_replacements))
                     ]
                 else:
                     comparable_players = projections_df[
@@ -263,8 +262,7 @@ 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)) &
-                        (projections_df['salary'] <= comp_salary_high + (salary_max - working_frame['salary'][row]))
+                    comparable_players = projections_df[(projections_df['player_names'].isin(specific_replacements))
                     ]
                 else:
                     comparable_players = projections_df[