code: def delta_eps_mu(eps, mu):
      """Compute dual between mu-GDP and (epsilon, delta)-DP."""
      return stats.norm.cdf(-eps / mu + mu / 2) - np.exp(
          eps
      ) * stats.norm.cdf(-eps / mu - mu / 2)
  
file_path: privacy/tensorflow_privacy/privacy/analysis/gdp_accountant.py
imports: import numpy
  from scipy import optimize
  from scipy import stats
label_desc: Use image node_id 3 for calling a global function with example usage: delta_eps_mu(eps, mu) and returns: unknown