#!/usr/bin/env python3 import argparse import csv import random def get_model_prediction(): try: return random.choice(["y", "n"]) except Exception as e: # Handle any potential exceptions print(f"An error occurred: {e}") def main(): parser = argparse.ArgumentParser() parser.add_argument("--input", default="test.csv") parser.add_argument("--output", default="aki.csv") flags = parser.parse_args() r = csv.reader(open(flags.input)) w = csv.writer(open(flags.output, "w")) w.writerow(("aki",)) next(r) # skip headers for _ in r: # TODO: Implement a better model w.writerow((random.choice(["y", "n"]),)) if __name__ == "__main__": main()