code: def test_batch_encode_candidates(self):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(
              f"{tokenizer.__class__.__name__} ({pretrained_name})"
          ):
              tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                  pretrained_name, **kwargs
              )
              tokenizer_p = self.tokenizer_class.from_pretrained(
                  pretrained_name, **kwargs
              )
              text = [
                  ["Hello world!", "Nice to meet you!"],
                  ["The cute cat.", "The adorable dog."],
              ]
  
              encoded_sentence_r = tokenizer_r.batch_encode_candidates(
                  text, max_length=10, return_tensors="np"
              )
              encoded_sentence_p = tokenizer_p.batch_encode_candidates(
                  text, max_length=10, return_tensors="np"
              )
  
              expected_shape = (2, 2, 10)
  
              self.assertEqual(
                  encoded_sentence_r["input_ids"].shape, expected_shape
              )
              self.assertEqual(
                  encoded_sentence_r["attention_mask"].shape,
                  expected_shape,
              )
              self.assertEqual(
                  encoded_sentence_r["token_type_ids"].shape,
                  expected_shape,
              )
  
              self.assertEqual(
                  encoded_sentence_p["input_ids"].shape, expected_shape
              )
              self.assertEqual(
                  encoded_sentence_p["attention_mask"].shape,
                  expected_shape,
              )
              self.assertEqual(
                  encoded_sentence_p["token_type_ids"].shape,
                  expected_shape,
              )
  
imports: import os
  import unittest
  from transformers import RealmTokenizerFast
  from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES, BasicTokenizer, WordpieceTokenizer, _is_control, _is_punctuation, _is_whitespace
  from transformers.models.realm.tokenization_realm import RealmTokenizer
  from transformers.testing_utils import require_tokenizers, slow
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
label_desc: Use image node_id 21 for calling the RealmTokenizationTest obj's underlying member method code with example usage: obj.test_batch_encode_candidates() without return types