class_docstr: The Lemmatizer supports simple part-of-speech-sensitive suffix rules and
  lookup tables.
  
  DOCS: https://spacy.io/api/lemmatizer
docstr: Returns the lookups configuration settings for a given mode for use
  in Lemmatizer.load_lookups.
  
  mode (str): The lemmatizer mode.
  RETURNS (Tuple[List[str], List[str]]): The required and optional
      lookup tables for this mode.
docstr_tok: ["Returns","the","lookups","configuration","settings","for","a","given","mode","for","use","in","Lemmatizer.load_lookups",".","mode","(","str",")",":","The","lemmatizer","mode",".","RETURNS","(","Tuple","[","List","[","str","]",",","List","[","str","]","]",")",":","The","required","and","optional","lookup","tables","for","this","mode","."]
code: def get_lookups_config(cls, mode: str) -> Tuple[List[str], List[str]]:
      """Returns the lookups configuration settings for a given mode for use
      in Lemmatizer.load_lookups.
  
      mode (str): The lemmatizer mode.
      RETURNS (Tuple[List[str], List[str]]): The required and optional
          lookup tables for this mode.
      """
      if mode == "lookup":
          return (["lemma_lookup"], [])
      elif mode == "rule":
          return (["lemma_rules"], ["lemma_exc", "lemma_index"])
      return ([], [])
  
imports: import warnings
  from pathlib import Path
  from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union
  from thinc.api import Model
  from ..None import util
  from ..errors import Errors, Warnings
  from ..language import Language
  from ..lookups import Lookups, load_lookups
  from ..scorer import Scorer
  from ..tokens import Doc, Token
  from ..training import Example
  from ..util import SimpleFrozenList, logger, registry
  from ..vocab import Vocab
  from .pipe import Pipe
label_desc: Use image node_id 1 for calling the Lemmatizer obj's underlying member method code with example usage: obj.get_lookups_config(cls, mode) and returns: list,  list, list,  list, list,  list