class_docstr: LSTM that can handle zero-length sequences
code: def handle_no_encoding(
      self,
      hidden_state: HiddenState,
      no_encoding: torch.BoolTensor,
      initial_hidden_state: HiddenState,
  ) -> HiddenState:
      hidden, cell = hidden_state
      hidden = hidden.masked_scatter(
          no_encoding, initial_hidden_state[0]
      )
      cell = cell.masked_scatter(no_encoding, initial_hidden_state[0])
      return hidden, cell
  
imports: from abc import ABC, abstractmethod
  from typing import Tuple, Type, Union
  import torch
  from torch import nn
  from torch.nn.utils import rnn
label_desc: Use image node_id 1 for calling the LSTM obj's underlying member method code with example usage: obj.handle_no_encoding(hidden_state, no_encoding, initial_hidden_state) and returns: hidden,  cell