code: def _log_ndtr_lower(x, series_order):
      """Asymptotic expansion version of `Log[cdf(x)]`, appropriate for `x<<-1`."""
      x_2 = math_ops.square(x)
      # Log of the term multiplying (1 + sum)
      log_scale = (
          -0.5 * x_2 - math_ops.log(-x) - 0.5 * np.log(2.0 * np.pi)
      )
      return log_scale + math_ops.log(
          _log_ndtr_asymptotic_series(x, series_order)
      )
  
file_path: tensorflow/tensorflow/python/ops/distributions/special_math.py
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 6 for calling a global function with example usage: _log_ndtr_lower(x, series_order) and returns: unknown