code: def get_t5_squad(self):
      # >>> from transformers import AutoTokenizer
      # >>> tok = AutoTokenizer.from_pretrained("t5-small")
      # >>> tok.tokenize("question: ")
      # ['▁question', ':']
      # >>> tok.tokenize("context: ")
      # ['▁context', ':']
      # >>> tok.encode("context: ")
      # [2625, 10]
      # >>> tok.encode("question: ")
      # [822, 10]
  
      return TemplateProcessing(
          single=["$0"],
          pair=["Q", "$A", "C", "$B"],
          special_tokens=[
              {
                  "id": "Q",
                  "ids": [2625, 10],
                  "tokens": ["_question", ":"],
              },
              {
                  "id": "C",
                  "ids": [822, 10],
                  "tokens": ["_context", ":"],
              },
          ],
      )
  
imports: import json
  import pickle
  import pytest
  from tokenizers import Tokenizer
  from tokenizers.models import BPE
  from tokenizers.pre_tokenizers import ByteLevel
  from tokenizers.processors import BertProcessing, ByteLevel, PostProcessor, RobertaProcessing, Sequence, TemplateProcessing
  from ..utils import data_dir, roberta_files
label_desc: Use image node_id 3 for calling the TestTemplateProcessing obj's underlying member method code with example usage: obj.get_t5_squad() and returns: TemplateProcessing