code: def test_should_fit_and_parse_with_non_ascii_tags(self):
      # Given
      inputs = ["string%s" % i for i in range(10)]
      utterances = [
          {
              DATA: [
                  {
                      TEXT: string,
                      ENTITY: "non_ascìi_entïty",
                      SLOT_NAME: "non_ascìi_slöt",
                  }
              ]
          }
          for string in inputs
      ]
  
      # When
      naughty_dataset = {
          "intents": {"naughty_intent": {"utterances": utterances}},
          "entities": {
              "non_ascìi_entïty": {
                  "use_synonyms": False,
                  "automatically_extensible": True,
                  "matching_strictness": 1.0,
                  "data": [],
              }
          },
          "language": "en",
      }
  
      # Then
      with self.fail_if_exception("Exception raised"):
          parser = DeterministicIntentParser().fit(naughty_dataset)
          parsing = parser.parse("string0")
  
          expected_slot = {
              "entity": "non_ascìi_entïty",
              "range": {"start": 0, "end": 7},
              "slotName": "non_ascìi_slöt",
              "value": "string0",
          }
          intent_name = parsing[RES_INTENT][RES_INTENT_NAME]
          self.assertEqual("naughty_intent", intent_name)
          self.assertListEqual([expected_slot], parsing[RES_SLOTS])
  
imports: from __future__ import unicode_literals
  import io
  from builtins import range
  from copy import deepcopy
  from checksumdir import dirhash
  from mock import patch
  from snips_nlu.common.io_utils import temp_dir
  from snips_nlu.constants import DATA, END, ENTITY, LANGUAGE_EN, RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_PROBA, RES_SLOTS, RES_VALUE, SLOT_NAME, START, TEXT, STOP_WORDS
  from snips_nlu.dataset import Dataset
  from snips_nlu.exceptions import IntentNotFoundError, NotTrained
  from snips_nlu.intent_parser.deterministic_intent_parser import DeterministicIntentParser, _deduplicate_overlapping_slots, _get_range_shift
  from snips_nlu.pipeline.configs import DeterministicIntentParserConfig
  from snips_nlu.result import extraction_result, intent_classification_result, unresolved_slot, empty_result, parsing_result
  from snips_nlu.tests.utils import FixtureTest, TEST_PATH
label_desc: Use image node_id 22 for calling the TestDeterministicIntentParser obj's underlying member method code with example usage: obj.test_should_fit_and_parse_with_non_ascii_tags() without return types