code: def inverse_mills_ratio(x):
      """Compute the ratio of the Normal PDF and the Normal CDF."""
      dtype = dtype_util.as_numpy_dtype(x.dtype)
      return tf.math.reciprocal(
          np.sqrt(np.pi / 2.0).astype(dtype)
          * special.erfcx(-x / np.sqrt(2.0).astype(dtype))
      )
  
file_path: probability/tensorflow_probability/python/experimental/bayesopt/acquisition/max_value_entropy_search.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import gumbel
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.experimental.bayesopt.acquisition import acquisition_function
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.math import root_search
  from tensorflow_probability.python.math import special
  from tensorflow_probability.python.mcmc import sample_halton_sequence_lib
label_desc: Use image node_id 2 for calling a global function with example usage: inverse_mills_ratio(x) and returns: tf