code: def test_featurize_trackers_raises_on_missing_state_featurizer(
      domain: Domain,
  ):
      tracker_featurizer = TrackerFeaturizer()
  
      with pytest.raises(InvalidTrackerFeaturizerUsageError):
          tracker_featurizer.featurize_trackers(
              [], domain, precomputations=None
          )
  
imports: from typing import Text, Dict, List, Optional
  import numpy
  import pytest
  from rasa.core.featurizers.single_state_featurizer import SingleStateFeaturizer
  from rasa.core.featurizers.single_state_featurizer import IntentTokenizerSingleStateFeaturizer
  from rasa.core.featurizers.tracker_featurizers import TrackerFeaturizer
  from rasa.core.featurizers.tracker_featurizers import MaxHistoryTrackerFeaturizer
  from rasa.core.featurizers.tracker_featurizers import IntentMaxHistoryTrackerFeaturizer
  from rasa.core.featurizers.tracker_featurizers import FullDialogueTrackerFeaturizer
  from rasa.shared.core.domain import Domain
  from tests.core.utilities import user_uttered
  from rasa.shared.nlu.training_data.features import Features
  from rasa.shared.nlu.constants import INTENT, ACTION_NAME
  from rasa.shared.core.constants import ACTION_LISTEN_NAME, ACTION_UNLIKELY_INTENT_NAME, USER, PREVIOUS_ACTION
  from rasa.shared.core.events import ActionExecuted
  from rasa.shared.core.trackers import DialogueStateTracker
  from rasa.utils.tensorflow.constants import LABEL_PAD_ID
  from rasa.utils.tensorflow.model_data import ragged_array_to_ndarray
  from rasa.core.exceptions import InvalidTrackerFeaturizerUsageError
label_desc: Use image node_id 5 for calling a global function with example usage: test_featurize_trackers_raises_on_missing_state_featurizer(domain) without return types