Enhance player data processing in load_contest_file.py by removing duplicates

- Added functionality to drop duplicate entries in the 'Player' column of the DataFrame, ensuring unique player data for improved accuracy.
- Maintained existing mapping and debugging features while refining data integrity during contest file loading.

global_func/load_contest_file.py

@@ -82,6 +82,7 @@ def load_contest_file(upload, helper = None, sport = None):
                     contest_match_dict[key] = value
             
             df_helper['Player'] = df_helper['Player'].map(contest_match_dict)
+            df_helper = df_helper.drop_duplicates(subset='Player', keep='first')
 
             print(df_helper[df_helper['Player'] == 'Luis Torrens'])