code: def print_neighbor_texts(cls, sample_id, chunk_id, data_key="train"):
      tokens = cls.get_neighbor_tokens(sample_id, chunk_id, data_key)
      print("~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~")
      try:
          print("PRETRAINING CHUNK:")
          print(
              "  - %s"
              % shorten_str(
                  cls.gpt_to_text(tokens["chunk_tokens"]), 150
              )
          )
          print("NEIGHBOR_CHUNKS:")
          for token_ids in tokens["neighbor_tokens"]:
              print(
                  "  - %s"
                  % shorten_str(cls.gpt_to_text(token_ids), 150)
              )
      except:
          print("<no neighbors for sample %d>" % sample_id)
  
imports: import json
  import numpy
  import os
  import torch
  import types
  from megatron.global_vars import set_global_variables, set_retro_args
  from megatron.initialize import initialize_megatron, _initialize_distributed, _set_random_seed, _compile_dependencies
  from tools.retro.db.utils import get_indexed_dataset_infos, get_merged_train_dataset
  from tools.retro.main import add_retro_args
  from tools.retro.query.retro_dataset import get_retro_datasets
  from tools.retro.utils import get_args_path, get_bert_tokenizer, get_gpt_tokenizer
label_desc: Use image node_id 20 for calling the retro obj's underlying member method code with example usage: obj.print_neighbor_texts(cls, sample_id, chunk_id, data_key) without return types