code: def _apply_dp_sgd_analysis(
      *,
      sample_rate: float,
      noise_multiplier: float,
      steps: int,
      alphas: List[float],
      delta: float,
      verbose: bool = True,
  ) -> Tuple[float, float]:
      """
      Computes the privacy Epsilon at a given delta via RDP accounting and
      converting to an (epsilon, delta) guarantee for a target Delta.
  
      Args:
          sample_rate : The sample rate in SGD
          noise_multiplier : The ratio of the standard deviation of the Gaussian
              noise to the L2-sensitivity of the function to which the noise is added
          steps : The number of steps
          alphas : A list of RDP orders
          delta : Target delta
          verbose : If enabled, will print the results of DP-SGD analysis
  
      Returns:
          Pair of privacy loss epsilon and optimal order alpha
      """
      rdp = compute_rdp(
          q=sample_rate,
          noise_multiplier=noise_multiplier,
          steps=steps,
          orders=alphas,
      )
      eps, opt_alpha = get_privacy_spent(
          orders=alphas, rdp=rdp, delta=delta
      )
  
      if verbose:
          print(
              f"DP-SGD with\n\tsampling rate = {100 * sample_rate:.3g}%,"
              f"\n\tnoise_multiplier = {noise_multiplier},"
              f"\n\titerated over {steps} steps,\nsatisfies "
              f"differential privacy with\n\tepsilon = {eps:.3g},"
              f"\n\tdelta = {delta}."
              f"\nThe optimal alpha is {opt_alpha}."
          )
  
          if opt_alpha == max(alphas) or opt_alpha == min(alphas):
              print(
                  "The privacy estimate is likely to be improved by expanding "
                  "the set of alpha orders."
              )
      return eps, opt_alpha
  
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 1 for calling a global function with example usage: _apply_dp_sgd_analysis() and returns: eps,  opt_alpha