code: def get_names(self) -> List[str]:
      if "__names" not in self.__dict__:
          self.__names = [
              name
              for embedding in self.embeddings
              for name in embedding.get_names()
          ]
  
      return self.__names
  
imports: import logging
  from typing import Any, Dict, List, Optional, Union, cast
  import torch
  from sklearn.feature_extraction.text import TfidfVectorizer
  from torch.nn import RNNBase
  from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
  import flair
  from flair.data import Sentence
  from flair.embeddings.base import DocumentEmbeddings, load_embeddings, register_embeddings
  from flair.embeddings.token import FlairEmbeddings, StackedEmbeddings, TokenEmbeddings
  from flair.embeddings.transformer import TransformerEmbeddings, TransformerOnnxDocumentEmbeddings
  from flair.nn import LockedDropout, WordDropout
label_desc: Use image node_id 4 for calling the DocumentLMEmbeddings obj's underlying member method code with example usage: obj.get_names() and returns: self