code: def main():
      parser = argparse.ArgumentParser(
          description="Estimate privacy of a model trained with DP-SGD using RDP accountant",
      )
      parser.add_argument(
          "-r",
          "--sample-rate",
          type=float,
          required=True,
          help="Input sample rate (probability of each sample from the dataset to be selected for a next batch)",
      )
      parser.add_argument(
          "-n",
          "--noise-multiplier",
          type=float,
          required=True,
          help="Noise multiplier",
      )
      parser.add_argument(
          "-e",
          "--epochs",
          type=int,
          required=True,
          help="Number of epochs to train",
      )
      parser.add_argument(
          "-d",
          "--delta",
          type=float,
          default=1e-5,
          help="Targeted delta (default: 1e-5)",
      )
      parser.add_argument(
          "-a",
          "--alphas",
          action="store",
          dest="alphas",
          type=float,
          nargs="+",
          default=[1 + x / 10.0 for x in range(1, 100)]
          + list(range(12, 64)),
          help="List of alpha values (alpha orders of Renyi-DP evaluation). "
          "A default list is provided. Else, space separated numbers. E.g.,"
          "-a 10 100",
      )
  
      args = parser.parse_args()
  
      compute_dp_sgd_privacy(
          sample_rate=args.sample_rate,
          noise_multiplier=args.noise_multiplier,
          epochs=args.epochs,
          delta=args.delta,
          alphas=args.alphas,
      )
  
imports: import argparse
  import math
  from typing import List, Tuple
  from opacus.accountants.analysis.rdp import compute_rdp, get_privacy_spent
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types