Update exposure_spread function to introduce lineups_to_add calculation, ensuring accurate adjustments for player additions during exposure evaluations. Modify related logic to reflect this change and enhance debugging output for lineups_to_add.

global_func/exposure_spread.py

@@ -259,6 +259,7 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
         lineups_to_remove = (player_exposure * len(working_frame))
     else:
         lineups_to_remove = ((player_exposure - exposure_target) * len(working_frame)) * 1.01
+        lineups_to_add = (exposure_target * len(working_frame)) * 1.01
 
     # isolate the rows that contain the player
     player_rows = working_frame[player_mask]
@@ -326,9 +327,9 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
                                 break
                     change_counter += 1
     else:
-        lineups_to_remove = lineups_to_remove * -1
+        lineups_to_add = lineups_to_add * -1
         for row in random_row_indices_replace:
-            if change_counter < math.ceil(lineups_to_remove):
+            if change_counter < math.ceil(lineups_to_add):
                 comparable_players = projections_df[
                     (projections_df['salary'] >= comp_salary_low) &
                     (projections_df['salary'] <= comp_salary_high + (salary_max - working_frame['salary'][row])) &
@@ -345,7 +346,7 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
                 comparable_players = comparable_players[comparable_players['player_names'] != exposure_player]
 
                 # Create a list of comparable players
-                print(lineups_to_remove)
+                print(lineups_to_add)
                 comparable_player_list = comparable_players['player_names'].tolist()
                 print(comparable_player_list)
                 if comparable_player_list: