code: def drop_duplicated_rows(df):
      duplicated_rows = df.duplicated()
      duplicated_indices = (
          df.reset_index().index[duplicated_rows].tolist()
      )
      message = None
      if len(duplicated_indices) > 0:
          df = df.drop_duplicates()
          message = (
              f"There are {len(duplicated_indices)} duplicated rows\n"
          )
          message += f"Removed {len(duplicated_indices)} duplicate rows"
      return df, message
  
imports: import argparse
  import math
  import os
  import pathlib
  from collections import Counter
  import numpy
  import pandas
label_desc: Use image node_id 12 for calling a global function with example usage: drop_duplicated_rows(df) and returns: df,  message