code: def _has_any_capitalization(entity_utterances, language):
      for utterance in entity_utterances:
          tokens = tokenize_light(utterance, language)
          if any(t.isupper() or t.istitle() for t in tokens):
              return True
      return False
  
file_path: snips-nlu/snips_nlu/dataset/validation.py
imports: from __future__ import division, unicode_literals
  import json
  from builtins import str
  from collections import Counter
  from copy import deepcopy
  from future.utils import iteritems, itervalues
  from snips_nlu.common.dataset_utils import validate_key, validate_keys, validate_type
  from snips_nlu.constants import AUTOMATICALLY_EXTENSIBLE, CAPITALIZE, DATA, ENTITIES, ENTITY, INTENTS, LANGUAGE, MATCHING_STRICTNESS, SLOT_NAME, SYNONYMS, TEXT, USE_SYNONYMS, UTTERANCES, VALIDATED, VALUE, LICENSE_INFO
  from snips_nlu.dataset import extract_utterance_entities, Dataset
  from snips_nlu.entity_parser.builtin_entity_parser import BuiltinEntityParser, is_builtin_entity
  from snips_nlu.exceptions import DatasetFormatError
  from snips_nlu.preprocessing import tokenize_light
  from snips_nlu.string_variations import get_string_variations
label_desc: Use image node_id 3 for calling a global function with example usage: _has_any_capitalization(entity_utterances, language) and returns: False, True