# CSV Data loader class
class CSVDataLoader:
  def __init__(self, file_path):
    self.file_path = file_path

  def get_data(self):
    return pd.read_csv(self.file_path)

  def save_data(self, df):
    df.to_csv(f'data/transformed_{self.file_path}', index=False)

# Interface
class DataProcessor:
  def __init__(self, train_data_loader, test_data_loader):
    self.train_data_loader = train_data_loader
    self.test_data_loader = test_data_loader

  def run(self):
    # Load training and test data using data loaders
    train_df = self.train_data_loader.get_data()
    test_df = self.test_data_loader.get_data()

# Create a data processor instance
process = DataProcessor(
 train_data_loader=CSVDataLoader(file_path='train.csv'),
 test_data_loader=CSVDataLoader(file_path='test.csv')
)

# Run the data processing pipeline
process.run()