code: def _get_input_ids_and_config(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      input_ids = inputs_dict[self.input_name]
  
      # cut to half length & take max batch_size 3
      max_batch_size = 3
      input_ids = input_ids[:max_batch_size, :, :]
  
      # generate max 3 tokens
      max_length = input_ids.shape[-1] + 3
      if (
          config.eos_token_id is not None
          and config.pad_token_id is None
      ):
          # hack to allow generate for models such as GPT2 as is done in `generate()`
          config.pad_token_id = config.eos_token_id
  
      return config, input_ids, None, max_length
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from transformers import WhisperConfig
  from transformers.testing_utils import is_torch_available, require_torch, require_torchaudio, slow, torch_device
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
label_desc: Use image node_id 9 for calling the WhisperModelTest obj's underlying member method code with example usage: obj._get_input_ids_and_config() and returns: config,  input_ids,  None,  max_length