text: from logging import Logger
  from pathlib import Path
  from typing import List
  
  from annotator.data import AnnotationTable, WorldlineTable
  from neuronir.methods.overwrite import overwrite_checkpoint
  
  from ._utilities import default_args
  
  
  @default_args("None, None")
  def overwrite_neir_checkpoint(
      dataset: Path,
      annotations: AnnotationTable,
      worldlines: WorldlineTable,
      window_state,
      arg: str,
      logger: Logger
  ) -> List[dict]:
  	"""
  	arg: key, value
  		key: Name of item in checkpoint to overwrite.
  		value: New item to write into checkpoint.
  	ex: "kn_max", "10": Updates max number of neighbor spring connections to 10.
  		"clip_grad", "0.1": Updates gradient clipping ceiling to 0.1.
  	"""
  
  	arg_list = arg.replace(" ", "").split(",")
  
  	key = str(arg_list[0])
  	value = eval(arg_list[1])
  
  	overwrite_checkpoint(dataset, key, value)
  
  	return [{"type": "annotations/get_annotations"}]
  