class_docstr: Implements DPQuery interface for Gaussian sum queries.
  
  Clips records to bound the L2 norm, then adds Gaussian noise to the sum.
docstr: Creates a global state from the given parameters.
docstr_tok: ["Creates","a","global","state","from","the","given","parameters","."]
code: def make_global_state(self, l2_norm_clip, stddev):
      """Creates a global state from the given parameters."""
      return self._GlobalState(
          tf.cast(l2_norm_clip, tf.float32), tf.cast(stddev, tf.float32)
      )
  
file_path: privacy/tensorflow_privacy/privacy/dp_query/gaussian_query.py
imports: import collections
  import dp_accounting
  import packaging.version
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import dp_query
label_desc: Use image node_id 2 for calling the GaussianSumQuery obj's underlying member method code with example usage: obj.make_global_state(l2_norm_clip, stddev) and returns: self