code: def test_special_tokens_small_tok(self):
      tok = BlenderbotSmallTokenizer.from_pretrained(
          "facebook/blenderbot-90M"
      )
      assert tok("sam").input_ids == [1384]
      src_text = "I am a small frog."
      encoded = tok([src_text], padding=False, truncation=False)[
          "input_ids"
      ]
      decoded = tok.batch_decode(
          encoded,
          skip_special_tokens=True,
          clean_up_tokenization_spaces=False,
      )[0]
      assert src_text != decoded  # I wish it did!
      assert decoded == "i am a small frog ."
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/blenderbot_small/test_tokenization_blenderbot_small.py
imports: import json
  import os
  import unittest
  from transformers.models.blenderbot_small.tokenization_blenderbot_small import VOCAB_FILES_NAMES, BlenderbotSmallTokenizer
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 5 for calling the BlenderbotSmallTokenizerTest obj's underlying member method code with example usage: obj.test_special_tokens_small_tok() without return types