class_docstr: Keys we can group by. 
class_docstr_tok: ["Keys","we","can","group","by","."]
docstr: Whether we should append the name of the key to the value of the key before printing.
  
  Some key values, such as dataset and model names, are easy to understand out of context.
  Other keys, often bools or ints, need some context to make sense. This property indicates
  whether values of this key need context.
docstr_tok: ["Whether","we","should","append","the","name","of","the","key","to","the","value","of","the","key","before","printing",".","Some","key","values",",","such","as","dataset","and","model","names",",","are","easy","to","understand","out","of","context",".","Other","keys",",","often","bools","or","ints",",","need","some","context","to","make","sense",".","This","property","indicates","whether","values","of","this","key","need","context","."]
code: def prefix_key_to_value(self) -> bool:
      """
      Whether we should append the name of the key to the value of the key before printing.
  
      Some key values, such as dataset and model names, are easy to understand out of context.
      Other keys, often bools or ints, need some context to make sense. This property indicates
      whether values of this key need context.
      """
      return self.value[2]
  
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 4 for calling the GroupingKey obj's underlying member method code with example usage: obj.prefix_key_to_value() and returns: self