Remove debug print statements from app.py and exposure_spread.py to clean up code and improve performance during exposure evaluations.

app.py

@@ -1345,8 +1345,6 @@ with tab2:
                         exp_submitted = st.form_submit_button("Export")
                     if reg_submitted:
                         st.session_state['settings_base'] = False
-                        print(exposure_player)
-                        print(st.session_state['exposure_player'])
                         parsed_frame = exposure_spread(st.session_state['working_frame'], st.session_state['exposure_player'], exposure_target, exposure_stack_bool, remove_teams_exposure, st.session_state['projections_df'], sport_var, type_var, salary_max)
                         
                         if type_var == 'Classic':

global_func/exposure_spread.py

@@ -218,7 +218,6 @@ def check_position_eligibility(sport, column_name, player_positions):
         return column_name in player_positions
 
 def exposure_spread(working_frame, exposure_player, exposure_target, exposure_stack_bool, remove_teams, projections_df, sport_var, type_var, salary_max):
-    print(exposure_player)
     comparable_players = projections_df[projections_df['player_names'] == exposure_player]
     
     comparable_players = comparable_players.reset_index(drop=True)
@@ -261,12 +260,6 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
     else:
         lineups_to_remove = ((player_exposure - exposure_target) * len(working_frame)) * 1.01
         lineups_to_add = ((exposure_target - player_exposure) * (len(working_frame) - (player_exposure * len(working_frame)))) * 1.10
-        print(player_exposure)
-        print(exposure_target)
-        print(lineups_to_remove)
-        print(exposure_target - player_exposure)
-        print(exposure_target)
-        print(lineups_to_add)
         
     # isolate the rows that contain the player
     player_rows = working_frame[player_mask]
@@ -351,18 +344,13 @@ 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_add)
-                print(lineups_to_add - change_counter)
                 comparable_player_list = comparable_players['player_names'].tolist()
-                print(comparable_player_list)
                 if comparable_player_list:
                     # Find which column contains the exposure_player
                     row_data = working_frame.iloc[row]
                     for col in working_frame.columns:
                         if row_data[col] in comparable_player_list:
-                            print(working_frame.iloc[row]['salary'] - projections_df[projections_df['player_names'] == row_data[col]]['salary'].iloc[0] + projections_df[projections_df['player_names'] == exposure_player]['salary'].iloc[0])
                             if working_frame.iloc[row]['salary'] - projections_df[projections_df['player_names'] == row_data[col]]['salary'].iloc[0] + projections_df[projections_df['player_names'] == exposure_player]['salary'].iloc[0] <= salary_max:
-                                print(row_data[col])
                                 # Get the replacement player's positions
                                 replacement_player_positions = projections_df[projections_df['player_names'] == row_data[col]]['position'].iloc[0].split('/')