Add debug output for salary calculations in app.py

- Introduced print statements to display sample row values and individual player salaries during salary calculations, enhancing visibility for debugging purposes.
- This change aids in verifying the accuracy of salary computations and improves overall data handling during runtime.

app.py

@@ -184,6 +184,16 @@ with tab2:
             working_df['salary'] = working_df.apply(lambda row: sum(st.session_state['salary_dict'].get(player, 0) for player in row[st.session_state['player_columns']]), axis=1)
             working_df['actual_fpts'] = working_df.apply(lambda row: sum(st.session_state['actual_dict'].get(player, 0) for player in row[st.session_state['player_columns']]), axis=1)
             working_df['actual_own'] = working_df.apply(lambda row: sum(st.session_state['ownership_dict'].get(player, 0) for player in row[st.session_state['player_columns']]), axis=1)
+            print("Sample row values:")
+            print(working_df.iloc[0][st.session_state['player_columns']])
+            print("Sample salary calculation:")
+            sample_row = working_df.iloc[0]
+            sample_salary = sum(st.session_state['salary_dict'].get(player, 0) for player in sample_row[st.session_state['player_columns']])
+            print(f"Sample salary: {sample_salary}")
+            print("Individual player salaries:")
+            for player in sample_row[st.session_state['player_columns']]:
+                salary = st.session_state['salary_dict'].get(player, 0)
+                print(f"  {player}: {salary}")
             working_df['sorted'] = working_df[st.session_state['player_columns']].apply(
                 lambda row: ','.join(sorted(row.values)),
                 axis=1