code: def check_for_regularization(configs: list):
      """
      Check if any regularization is specified in the configs
  
      Parameters
      ----------
          configs : list
              List of configurations
  
      Returns
      -------
          bool
              True if any regularization is specified
      """
      reg_sum = 0
      for config in [c for c in configs if c is not None]:
          if hasattr(config, "reg_lambda"):
              if config.reg_lambda is not None:
                  reg_sum += config.reg_lambda
      return reg_sum > 0
  
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 10 for calling a global function with example usage: check_for_regularization(configs) and returns: unknown