code: def _tokens_from_words(text: str) -> int:
      """Placeholder docstring"""
      return math.ceil(len(text.split(" ")) * TOKENS_PER_WORD)
  
file_path: sagemaker-python-sdk/src/sagemaker/serve/model_server/djl_serving/utils.py
imports: from __future__ import absolute_import
  from urllib.error import HTTPError
  import math
  import logging
  from sagemaker.serve.utils.types import _DjlEngine
  from sagemaker.djl_inference import defaults
  from sagemaker.djl_inference.model import _get_model_config_properties_from_hf
  from sagemaker.serve.utils.local_hardware import _get_available_gpus
  from sagemaker.serve.builder.schema_builder import SchemaBuilder
label_desc: Use image node_id 7 for calling a global function with example usage: _tokens_from_words(text) and returns: math