Update data type handling for salary, median, and ownership difference calculations in reassess_edge.py to improve memory efficiency and precision.

global_func/reassess_edge.py

@@ -58,9 +58,9 @@ def reassess_edge(refactored_frame: pd.DataFrame, original_frame: pd.DataFrame,
     refactored_df = refactored_frame.copy()
     refactored_df = refactored_df.reset_index(drop=True)
 
-    refactored_df['salary_diff'] = refactored_df['salary'] - orig_df['salary']
-    refactored_df['median_diff'] = refactored_df['median'] - orig_df['median']
-    refactored_df['own_diff'] = refactored_df['Own'] - orig_df['Own']
+    refactored_df['salary_diff'] = (refactored_df['salary'] - orig_df['salary']).astype('int16')
+    refactored_df['median_diff'] = (refactored_df['median'] - orig_df['median']).astype('float32')
+    refactored_df['own_diff'] = (refactored_df['Own'] - orig_df['Own']).astype('float32')
 
     change_mask = refactored_df[refactored_df['median_diff'] != 0]