code: def _pretty_print_ordered_histogram(data: list, label: str):
      """Placeholder docstring"""
      i = 0
      data.sort()
      for d in data:
          line = "x" * ceil(d)
          logger.info("%s: %s", label + " " + str(i), line)
          i += 1
  
file_path: sagemaker-python-sdk/src/sagemaker/serve/utils/tuning.py
imports: from __future__ import absolute_import
  import logging
  from time import perf_counter
  import collections
  from multiprocessing.pool import ThreadPool
  from math import ceil
  import pandas
  from numpy import percentile, std
  from sagemaker.serve.model_server.djl_serving.utils import _tokens_from_chars, _tokens_from_words
  from sagemaker.base_predictor import PredictorBase
label_desc: Use image node_id 6 for calling a global function with example usage: _pretty_print_ordered_histogram(data, label) without return types