code: def encode_and_trim_sagemaker_parameters(
      decoded_params: dict, max_len: int = 256
  ) -> dict:
      """
      Encode a SageMaker parameters dictionary where all values are strings then
      trim them to account for Sagemaker character size limit.
  
      >>> encode_and_trim_sagemaker_parameters({
      ...     "foo": [1, 2, 3],
      ...     "bar": "hello"
      ... }, max_len = 4)
      {'_0_foo': '[1, ',
       '_1_foo': '2, 3',
       '_2_foo': ']',
       '_0_bar': 'hell',
       '_1_bar': 'o'}
      """
      endoded_params = valmap(
          encode_sagemaker_parameter, decoded_params
      )
      return trim_encoded_sagemaker_parameters(endoded_params, max_len)
  
file_path: gluonts/src/gluonts/shell/sagemaker/params.py
imports: from itertools import count
  from typing import Any, Union
  from toolz import valmap
  from gluonts.core.serde import dump_json, load_json
  from gluonts.itertools import batcher
label_desc: Use image node_id 6 for calling a global function with example usage: encode_and_trim_sagemaker_parameters(decoded_params, max_len) and returns: trim_encoded_sagemaker_parameters