class_docstr: Tokenizer that uses SpaCy.
class_docstr_tok: ["Tokenizer","that","uses","SpaCy","."]
docstr: Any extra python dependencies required for this component to run.
docstr_tok: ["Any","extra","python","dependencies","required","for","this","component","to","run","."]
code: def required_packages() -> List[Text]:
      """Any extra python dependencies required for this component to run."""
      return ["spacy"]
  
file_path: rasa/rasa/nlu/tokenizers/spacy_tokenizer.py
imports: import typing
  from typing import Dict, Text, List, Any, Optional, Type
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.nlu.utils.spacy_utils import SpacyNLP
  from rasa.nlu.tokenizers.tokenizer import Token, Tokenizer
  from rasa.nlu.constants import SPACY_DOCS
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 3 for calling the SpacyTokenizer obj's underlying member method code with example usage: obj.required_packages() and returns: list