code: def eps_to_zcdp(eps, delta):
      """ "
  
      conversion of (eps,delta) gurantee to rho-zCDP
      eps : eps in DP
      delta: delta in DP
  
      return rho
      """
  
      def func_root(rho_zcdp):
          return zcdp_to_eps(rho_zcdp, delta) - eps
  
      root = fsolve(func_root, x0=0.001)[-1]
      return root
  
file_path: privacy/research/dp_newton/src/run.py
imports: import argparse
  import json
  from dataset_loader import Mydatasets
  from my_logistic_regression import MyLogisticRegression
  import numpy
  from opt_algs import CompareAlgs, DoubleNoiseMech, gd_priv, private_newton
  from scipy.optimize import fsolve
label_desc: Use image node_id 2 for calling a global function with example usage: eps_to_zcdp(eps, delta) and returns: root, unknown