Update session state keys for game type and sport selection in app.py

- Changed references from 'type_var' to 'type_init' for game type selection and from 'sport_select' to 'sport_init' for sport selection, enhancing consistency in session state management.
- This update improves code clarity and prepares for future enhancements in user interaction.

app.py

@@ -321,7 +321,7 @@ if selected_tab == 'Data Load':
         actual_map = st.session_state['actual_dict']
         ownership_map = st.session_state['ownership_dict']
         
-        if st.session_state['type_var'] == 'Classic':
+        if st.session_state['type_init'] == 'Classic':
             # Vectorized stack calculation
             player_teams = working_df[st.session_state['stack_columns']].apply(
                 lambda x: x.map(team_map).fillna('')
@@ -383,7 +383,7 @@ if selected_tab == 'Data Load':
             working_df['finish'] = working_df['index']
             working_df = working_df.drop(['sorted', 'index'], axis=1)
         
-        elif st.session_state['type_var'] == 'Showdown':
+        elif st.session_state['type_init'] == 'Showdown':
             # Vectorized stack calculation for Showdown
             player_teams = working_df.iloc[:, 2:].apply(
                 lambda x: x.map(team_map).fillna('')
@@ -403,7 +403,7 @@ if selected_tab == 'Data Load':
             working_df['stack'] = [result[0] for result in stack_results]
             working_df['stack_size'] = [result[1] for result in stack_results]
             
-            if st.session_state['sport_select'] == 'GOLF':
+            if st.session_state['sport_init'] == 'GOLF':
                 # Vectorized calculations for GOLF
                 player_salaries = working_df.apply(
                     lambda x: x.map(salary_map).fillna(0)