code: def get_rag_config(self):
      question_encoder_config = AutoConfig.from_pretrained(
          "facebook/dpr-question_encoder-single-nq-base"
      )
      generator_config = AutoConfig.from_pretrained(
          "facebook/bart-large-cnn"
      )
      return RagConfig.from_question_encoder_generator_configs(
          question_encoder_config,
          generator_config,
          bos_token_id=0,
          decoder_start_token_id=2,
          eos_token_id=2,
          is_encoder_decoder=True,
          pad_token_id=1,
          vocab_size=50264,
          title_sep=" / ",
          doc_sep=" // ",
          n_docs=5,
          max_combined_length=300,
          dataset="wiki_dpr",
          dataset_split="train",
          index_name="exact",
          index_path=None,
          use_dummy_dataset=True,
          retrieval_vector_size=768,
          retrieval_batch_size=8,
      )
  
imports: import gc
  import json
  import os
  import shutil
  import tempfile
  import unittest
  from unittest.mock import patch
  import numpy
  from transformers import BartTokenizer, T5Tokenizer
  from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
  from transformers.models.dpr.tokenization_dpr import DPRContextEncoderTokenizer, DPRQuestionEncoderTokenizer
  from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
  from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, require_torch_non_multi_gpu, slow, torch_device
  from transformers.utils import cached_property, is_datasets_available, is_faiss_available, is_torch_available
  from ..bart.test_modeling_bart import BartModelTester
  from ..dpr.test_modeling_dpr import DPRModelTester
  from ..t5.test_modeling_t5 import T5ModelTester
label_desc: Use image node_id 4 for calling the RagModelIntegrationTests obj's underlying member method code with example usage: obj.get_rag_config() and returns: RagConfig