code: def zcdp_to_eps(rho, delta):
      """ "
  
      conversion of zcdp gurantee to (eps,delta)-DP using the formula in Lemma 3.6
      of [BS16]
      rho : zCDP
      delta: delta in DP
  
      return eps
      """
      return rho + np.sqrt(
          4 * rho * np.log(np.sqrt(np.pi * rho) / delta)
      )
  
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 1 for calling a global function with example usage: zcdp_to_eps(rho, delta) and returns: unknown