code: def compute_mu_poisson(epoch, noise_multi, n, batch_size):
      """Compute mu from Poisson subsampling."""
  
      t = epoch * n / batch_size
      return (
          np.sqrt(np.exp(noise_multi ** (-2)) - 1)
          * np.sqrt(t)
          * batch_size
          / n
      )
  
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 2 for calling a global function with example usage: compute_mu_poisson(epoch, noise_multi, n, batch_size) and returns: unknown