Update salary calculation in exposure_spread function to reflect accurate adjustments for replacement players, ensuring compliance with salary constraints during exposure evaluations.

global_func/exposure_spread.py

@@ -353,8 +353,8 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
                     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])
-                            if working_frame.iloc[row]['salary'] + projections_df[projections_df['player_names'] == row_data[col]]['salary'].iloc[0] <= salary_max:
+                            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('/')