the while loop broke things, doing a range instead

global_func/stratification_function.py

@@ -15,7 +15,7 @@ def stratification_function(portfolio: pd.DataFrame, lineup_target: int, exclude
     similarity_floor = portfolio[sorting_choice].quantile(low_threshold / 100)
     similarity_ceiling = portfolio[sorting_choice].quantile(high_threshold / 100)
     
-    while True:
+    for range_var in range(1, 10):
         target_similarities = np.linspace(similarity_floor, similarity_ceiling, lineup_target)
         
         # Find the closest lineup to each target similarity score
@@ -29,7 +29,7 @@ def stratification_function(portfolio: pd.DataFrame, lineup_target: int, exclude
             selected_indices = selected_indices[:lineup_target]
             break
         else:
-            lineup_target += 5
+            lineup_target += 5 * range_var
     
     # Return view instead of copy
     return portfolio.loc[selected_indices].sort_values(by=sorting_choice, ascending=False)