code: def _get_config_param(param_filepath=None):
      """
      Get the parameters from the config file.
      """
      param = {}
  
      # If a parameter file is specified, load it
      if param_filepath:
          param_file_txt = configparser.ConfigParser()
          param_file_txt.read(param_filepath, encoding="UTF-8")
          nested_parameters = utils.convert_configparser_to_dictionary(
              param_file_txt
          )
  
          for k, v in nested_parameters.items():
              param.update(v)
  
      return param, param_file_txt
  
imports: import codecs
  import configparser
  import copy
  import distutils.util
  import glob
  import os
  import pickle
  from pprint import pprint
  import random
  import shutil
  import sys
  import time
  import warnings
  import pkg_resources
  import numpy
  import matplotlib
  import tensorflow
  from tensorflow.contrib.tensorboard.plugins import projector
  from neuroner import train
  from neuroner import dataset
  from neuroner.entity_lstm import EntityLSTM
  from neuroner import utils
  from neuroner import conll_to_brat
  from neuroner import evaluate
  from neuroner import brat_to_conll
  from neuroner import utils_nlp
label_desc: Use image node_id 5 for calling a global function with example usage: _get_config_param(param_filepath) and returns: param,  param_file_txt