code: def compute_mu_uniform(epoch, noise_multi, n, batch_size):
      """Compute mu from uniform subsampling."""
  
      t = epoch * n / batch_size
      c = batch_size * np.sqrt(t) / n
      return (
          np.sqrt(2)
          * c
          * np.sqrt(
              np.exp(noise_multi ** (-2))
              * stats.norm.cdf(1.5 / noise_multi)
              + 3 * stats.norm.cdf(-0.5 / noise_multi)
              - 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 1 for calling a global function with example usage: compute_mu_uniform(epoch, noise_multi, n, batch_size) and returns: unknown