Refactor slack_var handling in small_field_preset function: change iteration from float to integer and adjust calculation for curr_own_type_max to improve accuracy in portfolio adjustments.

global_func/small_field_preset.py

@@ -2,16 +2,16 @@ import pandas as pd
 
 def small_field_preset(portfolio: pd.DataFrame, lineup_target: int):
     
-    for slack_var in range(0.0, 1.0, .1):
+    for slack_var in range(1, 10):
         working_portfolio = portfolio.sort_values(by='Own', ascending = False).reset_index(drop=True)
         rows_to_drop = []
-        curr_own_type_max = working_portfolio.loc[0, 'Weighted Own'] + (slack_var * working_portfolio.loc[0, 'Weighted Own'])
+        curr_own_type_max = working_portfolio.loc[0, 'Weighted Own'] + (slack_var / 10 * working_portfolio.loc[0, 'Weighted Own'])
 
         for i in range(1, len(working_portfolio)):
             if working_portfolio.loc[i, 'Weighted Own'] > curr_own_type_max:
                 rows_to_drop.append(i)
             else:
-                curr_own_type_max = working_portfolio.loc[i, 'Weighted Own'] + (slack_var * working_portfolio.loc[i, 'Weighted Own'])
+                curr_own_type_max = working_portfolio.loc[i, 'Weighted Own'] + (slack_var / 10 * working_portfolio.loc[i, 'Weighted Own'])
 
         working_portfolio = working_portfolio.drop(rows_to_drop).reset_index(drop=True)
         if len(working_portfolio) >= lineup_target: