Refactor own_product calculation in predict_dupes.py to remove Contest_Size influence, streamlining the computation of player ownership metrics.

global_func/predict_dupes.py

@@ -261,7 +261,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
                 portfolio['FLEX4_Own'] = portfolio.iloc[:,4].map(maps_dict['own_map']).astype('float32') / 100
                 portfolio['FLEX5_Own'] = portfolio.iloc[:,5].map(maps_dict['own_map']).astype('float32') / 100
 
-            portfolio['own_product'] = (portfolio[own_columns].product(axis=1)) * max(Contest_Size / 10000, 1)
+            portfolio['own_product'] = (portfolio[own_columns].product(axis=1))
             portfolio['own_average'] = (portfolio['Own'].max() * .33) / 100
             portfolio['own_sum'] = portfolio[own_columns].sum(axis=1)
             portfolio['avg_own_rank'] = portfolio[dup_count_columns].mean(axis=1)