Refactor reassess_dupes function in reassess_edge.py to improve readability by restructuring the return statement, while maintaining the existing logic for salary and ownership adjustments.

global_func/reassess_edge.py

@@ -45,17 +45,17 @@ def calculate_weighted_ownership_single_row(row_ownerships):
     return weighted * 10000
 
 def reassess_dupes(row: pd.Series, salary_max: int) -> float:
-    st.write(f"DEBUG: salary={row['salary']}, salary_max={salary_max}, salary_diff={row['salary_diff']}, own_diff={row['own_diff']}")
-    return math.ceil(row['Dupes'] + 
-    (
-        # Salary component: base +2 + salary_diff/200 for every $100 above threshold
-        (max(0, (row['salary'] - (salary_max - 500)) / 100) * (2 + (row['salary_diff'] / 200)) * 
-         (1 if row['salary_diff'] >= 0 else -1)) +
-        
-        # Ownership component: direct negative/positive effect
-        (row['own_diff'] / 10)
+    return math.ceil(
+        row['Dupes'] + 
+        (
+            # Salary component: base +2 + salary_diff/200 for every $100 above threshold
+            (max(0, (row['salary'] - (salary_max - 500)) / 100) * (2 + (row['salary_diff'] / 200)) * 
+             (1 if row['salary_diff'] >= 0 else -1)) +
+            
+            # Ownership component: direct negative/positive effect
+            (row['own_diff'] / 10)
+        )
     )
-)
 
 def reassess_lineup_edge(row: pd.Series, Contest_Size: int) -> float:
     row['Lineup Edge'] = row['Win%'] * ((.5 - row['Finish_percentile']) * (Contest_Size / 2.5))