code: def main(args):
      output = Path(args.output)
      output.mkdir(parents=True, exist_ok=True)
  
      run_context = Run.get_context()
      input_path = run_context.input_datasets["train_10_models"]
  
      for file_name in os.listdir(input_path):
          input_file = os.path.join(input_path, file_name)
          with open(input_file, "r") as f:
              content = f.read()
  
              # Apply any data pre-processing techniques here
  
              output_file = os.path.join(output, file_name)
              with open(output_file, "w") as f:
                  f.write(content)
  
imports: from pathlib import Path
  from azureml.core import Run
  import argparse
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: main(args) without return types