





import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class A_      (    _lowerCamelCase				,   unittest.TestCase     ):
   lowerCAmelCase__       =				MPNetTokenizer
   lowerCAmelCase__       =				MPNetTokenizerFast
   lowerCAmelCase__       =				True
   lowerCAmelCase__       =				True




   def _lowerCAmelCase   (self			:Tuple				)->      List[str]:
         super().setUp()

         __A      =       [
             '''[UNK]''',
             '''[CLS]''',
             '''[SEP]''',
             '''[PAD]''',
             '''[MASK]''',
             '''want''',
             '''##want''',
             '''##ed''',
             '''wa''',
             '''un''',
             '''runn''',
             '''##ing''',
             ''',''',
             '''low''',
             '''lowest''',
         ]
         __A      =       os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['''vocab_file''']				)
         with open(self.vocab_file					,     '''w'''					,     encoding='''utf-8'''				) as vocab_writer:
               vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]				)				)




   def _lowerCAmelCase   (self			:int					,     _UpperCamelCase			:int				)->      Dict:
         __A      =       '''UNwant\u00E9d,running'''
         __A      =       '''unwanted, running'''
         return input_text, output_text




   def _lowerCAmelCase   (self			:Optional[Any]				)->      Tuple:
         __A      =       self.tokenizer_class(self.vocab_file				)

         __A      =       tokenizer.tokenize('''UNwant\u00E9d,running'''				)
         self.assertListEqual(_UpperCamelCase					,     ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']				)
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase				)					,     [9, 6, 7, 12, 10, 11]				)






   @slow
   def _lowerCAmelCase   (self			:Dict				)->      List[str]:
         __A      =       self.tokenizer_class.from_pretrained('''microsoft/mpnet-base'''				)

         __A      =       tokenizer.encode('''sequence builders'''					,     add_special_tokens=_UpperCamelCase				)
         __A      =       tokenizer.encode('''multi-sequence build'''					,     add_special_tokens=_UpperCamelCase				)

         __A      =       tokenizer.build_inputs_with_special_tokens(_UpperCamelCase				)
         __A      =       tokenizer.build_inputs_with_special_tokens(_UpperCamelCase					,     _UpperCamelCase				)

         assert encoded_sentence == [0] + text + [2]
         assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]












from unittest.mock import patch

import datasets
from datasets import Dataset



def _a       (			)			->		Optional[Any]:







      '''simple docstring'''






      __A      =       Dataset.from_dict({'''col_1''': [3, 2, 0, 1]}				)

      with patch('''tqdm.auto.tqdm'''				) as mock_tqdm:
            datasets.disable_progress_bar()
            dset.map(lambda lowerCamelCase				: {"col_2": x["col_1"] + 1}				)
            mock_tqdm.assert_not_called()

            mock_tqdm.reset_mock()

            datasets.enable_progress_bar()
            dset.map(lambda lowerCamelCase				: {"col_2": x["col_1"] + 1}				)
            mock_tqdm.assert_called()





