class_docstr: Class for storing information about a run used during ensemble building.
  
  Note
  ----
  This is for internal use by the EnsembleBuilder and not for general usage.
class_docstr_tok: ["Class","for","storing","information","about","a","run","used","during","ensemble","building",".","Note","--","--","This","is","for","internal","use","by","the","EnsembleBuilder","and","not","for","general","usage","."]
docstr: Remove the cache when pickling.
docstr_tok: ["Remove","the","cache","when","pickling","."]
code: def __getstate__(self) -> dict:
      """Remove the cache when pickling."""
      state = self.__dict__.copy()
      del state["_cache"]
      return state
  
imports: from __future__ import annotations
  from typing import Tuple
  import re
  from pathlib import Path
  import numpy
  from autosklearn.util.disk import sizeof
label_desc: Use image node_id 9 for calling the Run obj's underlying member method code with example usage: obj.__getstate__() and returns: state