code: def test_unigram_byte_fallback(self):
      vocab = [
          ("<unk>", 0.0),
          ("A", -0.01),
          ("sen", -0.02),
          ("te", -0.03),
          ("n", -0.04),
          ("ce", -0.05),
          ("<0xF0>", -0.06),
          ("<0x9F>", -0.06),
          ("<0xA4>", -0.06),
          ("<0x97>", -0.06),
          (" ", -0.4),
      ]
      tokenizer = tokenizer = Tokenizer(
          Unigram(vocab, 0, byte_fallback=False)
      )
  
      output = tokenizer.encode("A sentence 🤗")
      assert output.ids == [1, 10, 2, 3, 4, 5, 10, 0]
      assert output.tokens == [
          "A",
          " ",
          "sen",
          "te",
          "n",
          "ce",
          " ",
          "🤗",
      ]
  
      tokenizer = Tokenizer(Unigram(vocab, 0, byte_fallback=True))
  
      output = tokenizer.encode("A sentence 🤗")
      assert output.ids == [1, 10, 2, 3, 4, 5, 10, 6, 7, 8, 9]
      assert output.tokens == [
          "A",
          " ",
          "sen",
          "te",
          "n",
          "ce",
          " ",
          "<0xF0>",
          "<0x9F>",
          "<0xA4>",
          "<0x97>",
      ]
  
imports: import pickle
  import numpy
  import pytest
  from tokenizers import AddedToken, Encoding, Tokenizer
  from tokenizers.implementations import BertWordPieceTokenizer
  from tokenizers.models import BPE, Model, WordPiece, Unigram
  from tokenizers.normalizers import Lowercase
  from tokenizers.pre_tokenizers import ByteLevel
  from tokenizers.processors import BertProcessing, RobertaProcessing
  from ..utils import bert_files, data_dir, multiprocessing_with_parallelism, roberta_files
label_desc: Use image node_id 16 for calling the TestTokenizer obj's underlying member method code with example usage: obj.test_unigram_byte_fallback() without return types