code: def _gaussian(xs, variance):
      return np.exp(-np.square(xs) / (2 * variance)) / np.sqrt(
          2 * np.pi * variance
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import tf_quant_finance
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 1 for calling a global function with example usage: _gaussian(xs, variance) and returns: unknown