class_docstr: Abstract class for the checkpoint storage component.
  
  A checkpoint storage implementations must provide mechanisms to store, list,
  and load checkpoints from a persistent storage. Instances of this class are
  used by the :class:`CheckpointPlugin` strategy plugin.
docstr: Retrieves a list of available checkpoints
  
  :return: The names of available checkpoints.
docstr_tok: ["Retrieves","a","list","of","available","checkpoints",":","return",":","The","names","of","available","checkpoints","."]
code: def list_checkpoints(self) -> Iterable[str]:
      """
      Retrieves a list of available checkpoints
  
      :return: The names of available checkpoints.
      """
      pass
  
file_path: avalanche/avalanche/training/plugins/checkpoint.py
imports: from abc import ABC, abstractmethod
  from typing import Union, Callable, IO, Any, Dict, Optional, Iterable, BinaryIO
  import torch
  from avalanche._annotations import deprecated
  from avalanche.core import BaseSGDPlugin
  from avalanche.training.templates import BaseSGDTemplate
label_desc: Use image node_id 3 for calling the CheckpointStorage obj's underlying member method code with example usage: obj.list_checkpoints() without return types