Limit player removal iterations in distribute_preset.py to a maximum of 10 to prevent infinite loops during portfolio distribution. This change enhances the stability of the player filtering process while maintaining the accuracy of lineup generation.

global_func/distribute_preset.py

@@ -6,8 +6,9 @@ def distribute_preset(portfolio: pd.DataFrame, lineup_target: int, exclude_cols:
     excluded_cols = ['salary', 'median', 'Own', 'Finish_percentile', 'Dupes', 'Stack', 'Size', 'Win%', 'Lineup Edge', 'Weighted Own', 'Geomean', 'Similarity Score']
     player_columns = [col for col in portfolio.columns if col not in excluded_cols]
     player_remove_list = []
+    x = 0
     
-    while True:  # Continue until no more players need to be removed
+    while x < 10:  # Continue until no more players need to be removed
         for slack_var in range(1, 20):
             concat_portfolio = pd.DataFrame(columns=portfolio.columns)
             
@@ -81,5 +82,7 @@ def distribute_preset(portfolio: pd.DataFrame, lineup_target: int, exclude_cols:
         # If no new players to remove and we have enough lineups, we're done
         if len(high_exposure_players) == 0 and len(concat_portfolio) >= lineup_target:
             break
+        
+        x += 1
 
     return concat_portfolio.sort_values(by='median', ascending=False)