code: def prepare_config_and_inputs(self):
      config = self.get_config()
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
      return config, input_ids
  
imports: import inspect
  import tempfile
  import unittest
  from transformers import FastSpeech2ConformerConfig, FastSpeech2ConformerHifiGanConfig, FastSpeech2ConformerTokenizer, FastSpeech2ConformerWithHifiGanConfig, is_torch_available
  from transformers.testing_utils import require_g2p_en, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_tensor
label_desc: Use image node_id 2 for calling the FastSpeech2ConformerModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids