code: def assert_arg_bounded(
      value, min_value, max_value, op_name, arg_name
  ):
      if not min_value <= value <= max_value:
          raise ValueError(
              (
                  op_name
                  + ": "
                  + arg_name
                  + " has to lie in "
                  + "["
                  + str(min_value)
                  + ", "
                  + str(max_value)
                  + "]."
              )
          )
  
file_path: trfl/trfl/base_ops.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from six.moves import zip
  import tensorflow.compat.v1
label_desc: Use image node_id 4 for calling a global function with example usage: assert_arg_bounded(value, min_value, max_value, op_name, arg_name) without return types