code: def maybe_pad(
      self, next_tokens, generation_config, unfinished_sequences
  ):
      eos_token_id = generation_config.eos_token_id
      pad_token_id = generation_config.pad_token_id
      if eos_token_id is not None:
          if pad_token_id is None:
              raise ValueError(
                  "If `eos_token_id` is defined, make sure that `pad_token_id` is defined."
              )
          next_tokens = (
              next_tokens * unfinished_sequences
              + pad_token_id * (1 - unfinished_sequences)
          )
      return next_tokens
  
imports: import torch
  import json, os, msgpack
  from transformers.utils import logging
  import types
  import inspect
  import copy
  from typing import Optional, List, Callable
  from drugs.inject_mixin import InjectDrugsMixin, MODEL_NAME_MAPPING
  from transformers import GenerationMixin
  from transformers.cache_utils import DynamicCache
  from transformers.generation.utils import LogitsProcessorList, StoppingCriteriaList
  from transformers import AutoTokenizer, TextStreamer, GenerationConfig
  import numpy
  import torch
  import torch.nn.functional
  import hashlib
label_desc: Use image node_id 44 for calling the DRUGS obj's underlying member method code with example usage: obj.maybe_pad(next_tokens, generation_config, unfinished_sequences) and returns: next_tokens