code: def _load_noise(noise_path):
      with noise_path.open(encoding="utf8") as f:
          # Here we split on a " " knowing that it's always ignored by
          # the tokenization (see tokenization unit tests)
          # It is not important to tokenize precisely as this noise is just used
          # to generate utterances for the None intent
          noise = [word for l in f for word in l.split()]
      return noise
  
imports: from __future__ import unicode_literals
  import json
  from collections import defaultdict
  from copy import deepcopy
  from pathlib import Path
  from future.utils import iteritems
  from snips_nlu.common.utils import get_package_path, is_package, json_string
  from snips_nlu.constants import CUSTOM_ENTITY_PARSER_USAGE, DATA_PATH, GAZETTEERS, NOISE, STEMS, STOP_WORDS, WORD_CLUSTERS, METADATA
  from snips_nlu.entity_parser.custom_entity_parser import CustomEntityParserUsage
label_desc: Use image node_id 19 for calling a global function with example usage: _load_noise(noise_path) and returns: noise