code: def var(probs):
      # do not evaluate close to 0.5
      return (
          probs * (probs - 1.0) / (1.0 - 2.0 * probs) ** 2
          + 1.0 / (2.0 * np.arctanh(1.0 - 2.0 * probs)) ** 2
      )
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import continuous_bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 5 for calling a global function with example usage: var(probs) and returns: unknown