code: def prepare_config_and_inputs_for_model_class(self, model_class):
      config_and_inputs = self.prepare_config_and_inputs(model_class)
      (
          config,
          inputs,
          input_mask,
          sequence_labels,
          token_labels,
      ) = config_and_inputs
      inputs_dict = {"inputs": inputs, "attention_mask": input_mask}
  
      return config, inputs_dict
  
imports: import copy
  import inspect
  import math
  import tempfile
  import unittest
  import warnings
  from typing import Dict, List, Tuple
  import numpy
  from datasets import load_dataset
  from transformers import PerceiverConfig
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 11 for calling the PerceiverModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_model_class(model_class) and returns: config,  inputs_dict