code: def test_encode_decode_with_spaces(self):
      tokenizers = self.get_tokenizers(do_lower_case=False)
      for tokenizer in tokenizers:
          with self.subTest(f"{tokenizer.__class__.__name__}"):
              input = "hello world"
              if self.space_between_special_tokens:
                  output = "[CLS] hello world [SEP]"
              else:
                  output = input
              encoded = tokenizer.encode(
                  input, add_special_tokens=False
              )
              decoded = tokenizer.decode(
                  encoded,
                  spaces_between_special_tokens=self.space_between_special_tokens,
              )
              self.assertIn(decoded, [output, output.lower()])
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from transformers import BatchEncoding, CanineTokenizer
  from transformers.testing_utils import require_tokenizers, require_torch
  from transformers.tokenization_utils import AddedToken
  from transformers.utils import cached_property
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 12 for calling the CanineTokenizationTest obj's underlying member method code with example usage: obj.test_encode_decode_with_spaces() without return types