class_docstr: Creates features for entity extraction.
class_docstr_tok: ["Creates","features","for","entity","extraction","."]
docstr: Creates a new component (see parent class for full docstring).
docstr_tok: ["Creates","a","new","component","(","see","parent","class","for","full","docstring",")","."]
code: def create(
      cls,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> WhitespaceTokenizer:
      """Creates a new component (see parent class for full docstring)."""
      # Path to the dictionaries on the local filesystem.
      return cls(config)
  
imports: from __future__ import annotations
  from typing import Any, Dict, List, Optional, Text
  import regex
  import rasa.shared.utils.io
  import rasa.utils.io
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.tokenizers.tokenizer import Token, Tokenizer
  from rasa.shared.constants import DOCS_URL_COMPONENTS
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 4 for calling the WhitespaceTokenizer obj's underlying member method code with example usage: obj.create(cls, config, model_storage, resource, execution_context) and returns: cls