text: import argparse
  import pandas as pd
  
  
  if __name__ == "__main__":
      parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
      parser.add_argument("--tip-attributes", required=True, help="table of tip attributes from one or more timepoints")
      parser.add_argument("--output", required=True, help="table of tip attributes annotated with a 'naive' predictor")
  
      args = parser.parse_args()
  
      # Annotate a predictor for a naive model with no growth.
      df = pd.read_csv(args.tip_attributes, sep="\t")
      df["naive"] = 0.0
      df.to_csv(args.output, sep="\t", index=False)
  