code: def create_spacy_featurizer(
      config: Dict[Text, Any]
  ) -> SpacyFeaturizer:
      return SpacyFeaturizer(
          {**SpacyFeaturizer.get_default_config(), **config},
          "spacy_featurizer",
      )
  
imports: from typing import Any, Dict, Text
  import numpy
  import pytest
  from rasa.nlu.utils.spacy_utils import SpacyModel, SpacyNLP
  from rasa.shared.nlu.training_data import loading
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.featurizers.dense_featurizer.spacy_featurizer import SpacyFeaturizer
  from rasa.nlu.constants import SPACY_DOCS
  from rasa.shared.nlu.constants import TEXT, INTENT, RESPONSE
label_desc: Use image node_id 1 for calling a global function with example usage: create_spacy_featurizer(config) and returns: SpacyFeaturizer