code: def prepare_config_and_inputs(self):
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      ).clamp(
          3,
      )
      input_ids[:, -1] = self.eos_token_id  # Eos Token
  
      decoder_input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
  
      config = self.get_config()
      inputs_dict = prepare_mvp_inputs_dict(
          config, input_ids, decoder_input_ids
      )
      return config, inputs_dict
  
imports: import copy
  import tempfile
  import unittest
  import timeout_decorator
  from transformers import MvpConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 2 for calling the MvpModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  inputs_dict