code: def gen_data(n, d):
      """Make binomial dataset."""
      x = np.random.normal(size=(n, d))
      y = np.ones(shape=(n,)) / 2.0
      return x, y
  
file_path: privacy/research/audit_2020/mean_audit.py
imports: import numpy
  import tensorflow.compat.v1
  from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp
  from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
  from tensorflow_privacy.privacy.optimizers import dp_optimizer_vectorized
  from absl import app
  from absl import flags
  import audit
label_desc: Use image node_id 5 for calling a global function with example usage: gen_data(n, d) and returns: x,  y