class_docstr: Base class for all problem configs.
  Defines the interface for all problem configs.
class_docstr_tok: ["Base","class","for","all","problem","configs",".","Defines","the","interface","for","all","problem","configs","."]
docstr: Checks for errors (incompatible settings) for the specific problem type.
  Returns:
  A dictionary with two keys:
  - "title": A list of error titles.
  - "message": A list of error messages.
docstr_tok: ["Checks","for","errors","(","incompatible","settings",")","for","the","specific","problem","type",".","Returns",":","A","dictionary","with","two","keys",":","-","``","title","''",":","A","list","of","error","titles",".","-","``","message","''",":","A","list","of","error","messages","."]
code: def check(self) -> Dict[str, List]:
      """
      Checks for errors (incompatible settings) for the specific problem type.
      Returns:
      A dictionary with two keys:
      - "title": A list of error titles.
      - "message": A list of error messages.
      """
      errors: Dict[str, List] = {"title": [], "message": []}
      return errors
  
imports: import dataclasses
  import logging
  from dataclasses import dataclass, fields
  from typing import Any, Dict, List, Optional, Sequence, Set, Tuple
  from llm_studio.src import possible_values
  from llm_studio.src.nesting import Dependency, Nesting
  from llm_studio.src.order import Order
  from llm_studio.src.tooltips import tooltips
label_desc: Use image node_id 3 for calling the DefaultConfigProblemBase obj's underlying member method code with example usage: obj.check() and returns: errors