class_docstr: Tokenizer that uses SpaCy.
class_docstr_tok: ["Tokenizer","that","uses","SpaCy","."]
docstr: The component's default config (see parent class for full docstring).
docstr_tok: ["The","component","'s","default","config","(","see","parent","class","for","full","docstring",")","."]
code: def get_default_config() -> Dict[Text, Any]:
      """The component's default config (see parent class for full docstring)."""
      return {
          # Flag to check whether to split intents
          "intent_tokenization_flag": False,
          # Symbol on which intent should be split
          "intent_split_symbol": "_",
          # Regular expression to detect tokens
          "token_pattern": None,
          # Symbol on which prefix should be split
          "prefix_separator_symbol": None,
      }
  
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 2 for calling the SpacyTokenizer obj's underlying member method code with example usage: obj.get_default_config() and returns: dict