code: def set_log_level(
      log_level: str = "INFO", include_handlers: bool = False
  ):
      """Set the log level of all logger objects
  
      Parameters
      ----------
          log_level : str
              The log level of the logger objects used for printing procedure status
              updates for debugging/monitoring. Should be one of ``NOTSET``, ``DEBUG``, ``INFO``, ``WARNING``,
              ``ERROR`` or ``CRITICAL``
          include_handlers : bool
              Include any specified file/stream handlers
  
      Example
      -------
      >>> from neuralprophet import set_log_level
      >>> set_log_level("ERROR")
      """
      set_logger_level(
          logging.getLogger("NP"), log_level, include_handlers
      )
  
imports: from __future__ import annotations
  import logging
  import math
  import os
  import sys
  from collections import OrderedDict
  from typing import TYPE_CHECKING, Iterable, Optional, Union
  import numpy
  import pandas
  import pytorch_lightning
  import torch
  from neuralprophet import utils_torch
  from neuralprophet.hdays_utils import get_country_holidays
  from neuralprophet.logger import ProgressBar
label_desc: Use image node_id 22 for calling a global function with example usage: set_log_level(log_level, include_handlers) without return types