code: def _is_data_ind_step2(num_teachers, num_classes, sigma, orders):
      return np.all(
          pate.is_data_independent_always_opt_gaussian(
              num_teachers, num_classes, sigma, orders
          )
      )
  
file_path: privacy/research/pate_2018/ICLR2018/smooth_sensitivity_table.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import os
  import sys
  from absl import app
  from absl import flags
  import numpy
  import core
  import smooth_sensitivity
label_desc: Use image node_id 7 for calling a global function with example usage: _is_data_ind_step2(num_teachers, num_classes, sigma, orders) and returns: np