code: def _clip_prob(prob):
      eps = onp.finfo("float32").eps
      return np.clip(prob, eps, 1 - eps)
  
file_path: mxnet/python/mxnet/gluon/probability/distributions/utils.py
imports: from functools import update_wrapper
  from numbers import Number
  import numpy
  from ....None import np, npx
label_desc: Use image node_id 8 for calling a global function with example usage: _clip_prob(prob) and returns: np