code: def _logexpm1(x: float) -> float:
      """Returns log(exp(x) - 1)."""
      return x + math.log(-math.expm1(-x))
  
file_path: privacy/tensorflow_privacy/privacy/analysis/compute_dp_sgd_privacy_lib.py
imports: import enum
  import functools
  import math
  import textwrap
  from typing import Optional
  from absl import app
  from absl import logging
  import dp_accounting
  from scipy import optimize
label_desc: Use image node_id 1 for calling a global function with example usage: _logexpm1(x) and returns: unknown