Refactor reassess_dupes function in reassess_edge.py to enhance ownership calculation by incorporating a more detailed salary and ownership adjustment mechanism, improving accuracy in metrics.

global_func/reassess_edge.py

@@ -44,7 +44,16 @@ def calculate_weighted_ownership_single_row(row_ownerships):
     return weighted * 10000
 
 def reassess_dupes(row: pd.Series, salary_max: int) -> float:
-    return math.ceil(row['Dupes'] + ((row['salary_diff'] / 100) + ((salary_max + (salary_max - row['salary'])) / 10000)) * (1 + (row['own_diff'] / 100)))
+    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))