docstr: Represents the size of the buffer
  
  Returns:
    Size of the buffer.
docstr_tok: ["Represents","the","size","of","the","buffer","Returns",":","Size","of","the","buffer","."]
code: def __len__(self):
      """Represents the size of the buffer
  
      Returns:
        Size of the buffer.
      """
      return len(self.buffer)
  
file_path: FinRL/finrl/agents/portfolio_optimization/utils.py
imports: from __future__ import annotations
  from collections import deque
  import numpy
  from torch.utils.data.dataset import IterableDataset
label_desc: Use image node_id 2 for calling the ReplayBuffer obj's underlying member method code with example usage: obj.__len__() and returns: len