code: def eps_from_mu(mu, delta):
      """Compute epsilon from mu given delta via inverse dual."""
  
      def f(x):
          """Reversely solve dual by matching delta."""
          return delta_eps_mu(x, mu) - delta
  
      return optimize.root_scalar(
          f, bracket=[0, 500], method="brentq"
      ).root
  
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 4 for calling a global function with example usage: eps_from_mu(mu, delta) and returns: optimize, unknown