input: Write a python function to read a CSV file, perform a specific operation on a column, and write the result to a new CSV file.
  assert process_csv("data.csv", "result.csv", "column2") == True
  assert pd.read_csv("result.csv")["result"].equals(pd.Series([4, 8, 12, 16]))
  assert pd.read_csv("result.csv")["result"].equals(pd.Series([10, 14, 18, 22]))
output: def process_csv(input_file, output_file, column_name):
      import pandas as pd
  
      # Read the CSV file
      df = pd.read_csv(input_file)
  
      # Perform the specific operation on the column: multiply by 2
      df['result'] = df[column_name] * 2
  
      # Write the result to a new CSV file
      df.to_csv(output_file, index=False)
  
      return True