class_docstr: Keys we can group by. 
class_docstr_tok: ["Keys","we","can","group","by","."]
code: def __lt__(self, other: "GroupingKey") -> bool:  # type: ignore[override]
      return self.key_cost < other.key_cost
  
imports: import heapq
  from dataclasses import dataclass
  from enum import Enum
  from typing import Any, Collection, Iterator, List, Sequence, Tuple, Type
  import pandas
  from benchmark.metadata import BenchmarkMetadata
  from benchmark.plotter_api import Plotter
label_desc: Use image node_id 7 for calling the GroupingKey obj's underlying member method code with example usage: obj.__lt__(other) and returns: unknown