old_contents: import logging
  import warnings
  
  from typing import Any, Dict, Optional, Text
  
  from rasa.nlu.featurizers.featurzier import Featurizer
  
  logger = logging.getLogger(__name__)
  
  
  class NGramFeaturizer(Featurizer):
      def __init__(self, component_config: Optional[Dict[Text, Any]] = None):
          super(NGramFeaturizer, self).__init__(component_config)
  
          raise NotImplementedError(
              "REMOVAL warning: You cannot use `NGramFeaturizer` anymore. "
              "Please use `CountVectorsFeaturizer` instead. The following settings"
              "match the previous `NGramFeaturizer`:"
              ""
              "- name: 'CountVectorsFeaturizer'"
              "  analyzer: 'char_wb'"
              "  min_ngram: 3"
              "  max_ngram: 17"
              "  max_features: 10"
              "  min_df: 5"
          )
  
new_contents: import logging
  import warnings
  
  from typing import Any, Dict, Optional, Text
  
  from rasa.nlu.featurizers.featurzier import Featurizer
  
  logger = logging.getLogger(__name__)
  
  
  class NGramFeaturizer(Featurizer):
      def __init__(self, component_config: Optional[Dict[Text, Any]] = None) -> None:
          super(NGramFeaturizer, self).__init__(component_config)
  
          raise NotImplementedError(
              "REMOVAL warning: You cannot use `NGramFeaturizer` anymore. "
              "Please use `CountVectorsFeaturizer` instead. The following settings"
              "match the previous `NGramFeaturizer`:"
              ""
              "- name: 'CountVectorsFeaturizer'"
              "  analyzer: 'char_wb'"
              "  min_ngram: 3"
              "  max_ngram: 17"
              "  max_features: 10"
              "  min_df: 5"
          )
  
subject: Update rasa/nlu/featurizers/sparse_featurizer/ngram_featurizer.py