

import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class      snake_case_       (		__A     ,	unittest.TestCase ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE					:       Union[str, Any]						      =    ElectraTokenizer
			SCREAMING_SNAKE_CASE					:       Any						      =    ElectraTokenizerFast
			SCREAMING_SNAKE_CASE					:       Tuple						      =    True
			SCREAMING_SNAKE_CASE					:       List[Any]						      =    True
			SCREAMING_SNAKE_CASE					:       int						      =    filter_non_english







			def     snake_case__(					self			:    Union[str, Any]							)				->int:
									super().setUp()

									snake_case_       =     [
									    '''[UNK]''',
									    '''[CLS]''',
									    '''[SEP]''',
									    '''[PAD]''',
									    '''[MASK]''',
									    '''want''',
									    '''##want''',
									    '''##ed''',
									    '''wa''',
									    '''un''',
									    '''runn''',
									    '''##ing''',
									    ''',''',
									    '''low''',
									    '''lowest''',
									]
									snake_case_       =     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     snake_case__(					self			:    Dict							,       _UpperCamelCase			:    Any							)				->Tuple:
									snake_case_       =     '''UNwant\u00E9d,running'''
									snake_case_       =     '''unwanted, running'''
									return input_text, output_text







			def     snake_case__(					self			:    Optional[Any]							)				->str:
									snake_case_       =     self.tokenizer_class(self.vocab_file							)

									snake_case_       =     tokenizer.tokenize('''UNwant\u00E9d,running'''							)
									self.assertListEqual(_UpperCamelCase							,       ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']							)
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase							)							,       [9, 6, 7, 1_2, 1_0, 1_1]							)







			def     snake_case__(					self			:    Union[str, Any]							)				->Optional[Any]:
									if not self.test_rust_tokenizer:
															return

									snake_case_       =     self.get_tokenizer()
									snake_case_       =     self.get_rust_tokenizer()

									snake_case_       =     '''UNwant\u00E9d,running'''

									snake_case_       =     tokenizer.tokenize(_UpperCamelCase							)
									snake_case_       =     rust_tokenizer.tokenize(_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)

									snake_case_       =     tokenizer.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)
									snake_case_       =     rust_tokenizer.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)

									snake_case_       =     self.get_rust_tokenizer()
									snake_case_       =     tokenizer.encode(_UpperCamelCase							)
									snake_case_       =     rust_tokenizer.encode(_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)

									# With lower casing
									snake_case_       =     self.get_tokenizer(do_lower_case=_UpperCamelCase							)
									snake_case_       =     self.get_rust_tokenizer(do_lower_case=_UpperCamelCase							)

									snake_case_       =     '''UNwant\u00E9d,running'''

									snake_case_       =     tokenizer.tokenize(_UpperCamelCase							)
									snake_case_       =     rust_tokenizer.tokenize(_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)

									snake_case_       =     tokenizer.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)
									snake_case_       =     rust_tokenizer.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)

									snake_case_       =     self.get_rust_tokenizer()
									snake_case_       =     tokenizer.encode(_UpperCamelCase							)
									snake_case_       =     rust_tokenizer.encode(_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)







			def     snake_case__(					self			:    Any							)				->Optional[Any]:
									snake_case_       =     BasicTokenizer()

									self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''							)							,       ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']							)







			def     snake_case__(					self			:    Optional[Any]							)				->Any:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''							)							,       ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
									self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)							,       ['''hello''']							)







			def     snake_case__(					self			:    List[str]							)				->Union[str, Any]:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							,       strip_accents=_UpperCamelCase							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)							,       ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
									self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)							,       ['''h\u00E9llo''']							)







			def     snake_case__(					self			:    int							)				->int:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							,       strip_accents=_UpperCamelCase							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)							,       ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
									self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)							,       ['''hello''']							)







			def     snake_case__(					self			:    List[str]							)				->Dict:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)							,       ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
									self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)							,       ['''hello''']							)







			def     snake_case__(					self			:    Tuple							)				->str:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''							)							,       ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']							)







			def     snake_case__(					self			:    Optional[Any]							)				->List[str]:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							,       strip_accents=_UpperCamelCase							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)							,       ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']							)







			def     snake_case__(					self			:    int							)				->Union[str, Any]:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							,       strip_accents=_UpperCamelCase							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)							,       ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']							)







			def     snake_case__(					self			:    Tuple							)				->Any:
									snake_case_       =     BasicTokenizer(do_lower_case=_UpperCamelCase							,       never_split=['''[UNK]''']							)

									self.assertListEqual(
									    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''							)							,       ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']							)







			def     snake_case__(					self			:    Tuple							)				->Union[str, Any]:
									snake_case_       =     ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

									snake_case_       =     {}
									for i, token in enumerate(_UpperCamelCase							):
															snake_case_       =     i
									snake_case_       =     WordpieceTokenizer(vocab=_UpperCamelCase							,       unk_token='''[UNK]'''							)

									self.assertListEqual(tokenizer.tokenize(''''''							)							,       []							)

									self.assertListEqual(tokenizer.tokenize('''unwanted running'''							)							,       ['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']							)

									self.assertListEqual(tokenizer.tokenize('''unwantedX running'''							)							,       ['''[UNK]''', '''runn''', '''##ing''']							)







			def     snake_case__(					self			:    int							)				->Tuple:
									self.assertTrue(_is_whitespace(''' '''							)							)
									self.assertTrue(_is_whitespace('''\t'''							)							)
									self.assertTrue(_is_whitespace('''\r'''							)							)
									self.assertTrue(_is_whitespace('''\n'''							)							)
									self.assertTrue(_is_whitespace('''\u00A0'''							)							)

									self.assertFalse(_is_whitespace('''A'''							)							)
									self.assertFalse(_is_whitespace('''-'''							)							)







			def     snake_case__(					self			:    Union[str, Any]							)				->Optional[Any]:
									self.assertTrue(_is_control('''\u0005'''							)							)

									self.assertFalse(_is_control('''A'''							)							)
									self.assertFalse(_is_control(''' '''							)							)
									self.assertFalse(_is_control('''\t'''							)							)
									self.assertFalse(_is_control('''\r'''							)							)







			def     snake_case__(					self			:    List[str]							)				->Dict:
									self.assertTrue(_is_punctuation('''-'''							)							)
									self.assertTrue(_is_punctuation('''$'''							)							)
									self.assertTrue(_is_punctuation('''`'''							)							)
									self.assertTrue(_is_punctuation('''.'''							)							)

									self.assertFalse(_is_punctuation('''A'''							)							)
									self.assertFalse(_is_punctuation(''' '''							)							)







			def     snake_case__(					self			:    Tuple							)				->List[Any]:
									snake_case_       =     self.get_tokenizer()
									snake_case_       =     self.get_rust_tokenizer()

									# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
									self.assertListEqual([tokenizer.tokenize(_UpperCamelCase							) for t in ['''Test''', '''\xad''', '''test''']]							,       [['''[UNK]'''], [], ['''[UNK]''']]							)

									self.assertListEqual(
									    [rust_tokenizer.tokenize(_UpperCamelCase							) for t in ['''Test''', '''\xad''', '''test''']]							,       [['''[UNK]'''], [], ['''[UNK]''']]							)







			@slow
			def     snake_case__(					self			:    Optional[int]							)				->int:
									snake_case_       =     self.tokenizer_class.from_pretrained('''google/electra-base-discriminator'''							)

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

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

									assert encoded_sentence == [1_0_1] + text + [1_0_2]
									assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]







			def     snake_case__(					self			:    Optional[int]							)				->Tuple:
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																					snake_case_       =     self.rust_tokenizer_class.from_pretrained(_UpperCamelCase							,       **_UpperCamelCase							)

																					snake_case_       =     f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																					snake_case_       =     tokenizer_r.encode_plus(
																					    _UpperCamelCase							,       return_attention_mask=_UpperCamelCase							,       return_token_type_ids=_UpperCamelCase							,       return_offsets_mapping=_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							,       )

																					snake_case_       =     tokenizer_r.do_lower_case if hasattr(_UpperCamelCase							,       '''do_lower_case'''							) else False
																					snake_case_       =     (
																					    [
																					        ((0, 0), tokenizer_r.cls_token),
																					        ((0, 1), '''A'''),
																					        ((1, 2), ''','''),
																					        ((3, 5), '''na'''),
																					        ((5, 6), '''##ï'''),
																					        ((6, 8), '''##ve'''),
																					        ((9, 1_5), tokenizer_r.mask_token),
																					        ((1_6, 2_1), '''Allen'''),
																					        ((2_1, 2_3), '''##NL'''),
																					        ((2_3, 2_4), '''##P'''),
																					        ((2_5, 3_3), '''sentence'''),
																					        ((3_3, 3_4), '''.'''),
																					        ((0, 0), tokenizer_r.sep_token),
																					    ]
																					    if not do_lower_case
																					    else [
																					        ((0, 0), tokenizer_r.cls_token),
																					        ((0, 1), '''a'''),
																					        ((1, 2), ''','''),
																					        ((3, 8), '''naive'''),
																					        ((9, 1_5), tokenizer_r.mask_token),
																					        ((1_6, 2_1), '''allen'''),
																					        ((2_1, 2_3), '''##nl'''),
																					        ((2_3, 2_4), '''##p'''),
																					        ((2_5, 3_3), '''sentence'''),
																					        ((3_3, 3_4), '''.'''),
																					        ((0, 0), tokenizer_r.sep_token),
																					    ]
																					)

																					self.assertEqual(
																					    [e[1] for e in expected_results]							,       tokenizer_r.convert_ids_to_tokens(tokens['''input_ids''']							)							)
																					self.assertEqual([e[0] for e in expected_results]							,       tokens['''offset_mapping''']							)







			def     snake_case__(					self			:    List[str]							)				->Tuple:
									snake_case_       =     ['''的''', '''人''', '''有''']
									snake_case_       =     ''''''.join(_UpperCamelCase							)
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																					snake_case_       =     True
																					snake_case_       =     self.tokenizer_class.from_pretrained(_UpperCamelCase							,       **_UpperCamelCase							)
																					snake_case_       =     self.rust_tokenizer_class.from_pretrained(_UpperCamelCase							,       **_UpperCamelCase							)

																					snake_case_       =     tokenizer_p.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)
																					snake_case_       =     tokenizer_r.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)

																					snake_case_       =     tokenizer_r.convert_ids_to_tokens(_UpperCamelCase							)
																					snake_case_       =     tokenizer_p.convert_ids_to_tokens(_UpperCamelCase							)

																					# it is expected that each Chinese character is not preceded by "##"
																					self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)
																					self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)

																					snake_case_       =     False
																					snake_case_       =     self.rust_tokenizer_class.from_pretrained(_UpperCamelCase							,       **_UpperCamelCase							)
																					snake_case_       =     self.tokenizer_class.from_pretrained(_UpperCamelCase							,       **_UpperCamelCase							)

																					snake_case_       =     tokenizer_r.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)
																					snake_case_       =     tokenizer_p.encode(_UpperCamelCase							,       add_special_tokens=_UpperCamelCase							)

																					snake_case_       =     tokenizer_r.convert_ids_to_tokens(_UpperCamelCase							)
																					snake_case_       =     tokenizer_p.convert_ids_to_tokens(_UpperCamelCase							)

																					# it is expected that only the first Chinese character is not preceded by "##".
																					snake_case_       =     [
																					    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_UpperCamelCase							)
																					]
																					self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)
																					self.assertListEqual(_UpperCamelCase							,       _UpperCamelCase							)


import concurrent.futures
import json
import os
import shutil
import tempfile
import unittest

from transformers import AutoTokenizer, PreTrainedTokenizerFast
from transformers.testing_utils import require_tokenizers

from ..test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class      snake_case_       (		__A     ,	unittest.TestCase ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE					:       str						      =    PreTrainedTokenizerFast
			SCREAMING_SNAKE_CASE					:       List[str]						      =    False
			SCREAMING_SNAKE_CASE					:       Tuple						      =    True
			SCREAMING_SNAKE_CASE					:       str						      =    "tokenizer_file"







			def     snake_case__(					self			:    Dict							)				->int:
									snake_case_       =     False  # because we don't have pretrained_vocab_files_map
									super().setUp()
									snake_case_       =     True

									snake_case_       =     ['''robot-test/dummy-tokenizer-fast''', '''robot-test/dummy-tokenizer-wordlevel''']
									snake_case_       =     '''SaulLu/dummy-tokenizer-bytelevel-bpe'''

									# Inclusion of 2 tokenizers to test different types of models (Unigram and WordLevel for the moment)
									snake_case_       =     [(PreTrainedTokenizerFast, model_path, {}) for model_path in model_paths]

									snake_case_       =     PreTrainedTokenizerFast.from_pretrained(model_paths[0]							)
									tokenizer.save_pretrained(self.tmpdirname							)







			def     snake_case__(					self			:    Union[str, Any]							)				->Dict:
									# We disable this test for PreTrainedTokenizerFast because it is the only tokenizer that is not linked to any
									# model
									pass







			def     snake_case__(					self			:    str							)				->Any:
									# We disable this test for PreTrainedTokenizerFast because it is the only tokenizer that is not linked to any
									# model
									pass







			def     snake_case__(					self			:    List[Any]							)				->str:
									# We disable this test for PreTrainedTokenizerFast because it is the only tokenizer that is not linked to any
									# model
									pass







			def     snake_case__(					self			:    str							)				->List[Any]:
									# PreTrainedTokenizerFast doesn't have tokenizer_file in its signature
									pass







			def     snake_case__(					self			:    Any							)				->Union[str, Any]:
									snake_case_       =     self.tmpdirname
									# Here we want to test the 2 available tokenizers that use 2 different types of models: Unigram and WordLevel.
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																					try:
																											snake_case_       =     tempfile.mkdtemp()
																											snake_case_       =     self.rust_tokenizer_class.from_pretrained(_UpperCamelCase							,       **_UpperCamelCase							)

																											tokenizer.save_pretrained(self.tmpdirname							)
																											super().test_training_new_tokenizer()
																					finally:
																											# Even if the test fails, we must be sure that the folder is deleted and that the default tokenizer
																											# is restored
																											shutil.rmtree(self.tmpdirname							)
																											snake_case_       =     tmpdirname_orig







			def     snake_case__(					self			:    List[str]							)				->List[Any]:
									snake_case_       =     self.tmpdirname
									# Here we want to test the 2 available tokenizers that use 2 different types of models: Unigram and WordLevel.
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																					try:
																											snake_case_       =     tempfile.mkdtemp()
																											snake_case_       =     self.rust_tokenizer_class.from_pretrained(_UpperCamelCase							,       **_UpperCamelCase							)

																											tokenizer.save_pretrained(self.tmpdirname							)
																											super().test_training_new_tokenizer_with_special_tokens_change()
																					finally:
																											# Even if the test fails, we must be sure that the folder is deleted and that the default tokenizer
																											# is restored
																											shutil.rmtree(self.tmpdirname							)
																											snake_case_       =     tmpdirname_orig







			def     snake_case__(					self			:    Optional[int]							)				->Optional[Any]:
									snake_case_       =     self.rust_tokenizer_class.from_pretrained(self.bytelevel_bpe_model_name							)

									snake_case_       =     ('''a''' for _ in range(1_0_0_0							))
									snake_case_       =     tokenizer.train_new_from_iterator(text_iterator=_UpperCamelCase							,       length=1_0_0_0							,       vocab_size=5_0							)

									snake_case_       =     new_tokenizer.encode('''a🤗'''							)
									self.assertEqual(_UpperCamelCase							,       [6_4, 1_7_2, 2_5_3, 9_7, 2_4_5]							)






@require_tokenizers
class      snake_case_       (		unittest.TestCase ):







			'''simple docstring'''

			def     snake_case__(					self			:    Optional[int]							)				->int:
									snake_case_       =     AutoTokenizer.from_pretrained('''bert-base-cased'''							)
									snake_case_       =     json.loads(tokenizer._tokenizer.to_str()							)
									snake_case_       =     len(_UpperCamelCase							)

									with tempfile.TemporaryDirectory() as tmp_dir:
															# Hack to save this in the tokenizer_config.json
															snake_case_       =     ['''tokenizer.4.0.0.json''']
															tokenizer.save_pretrained(_UpperCamelCase							)
															json.dump(_UpperCamelCase							,       open(os.path.join(_UpperCamelCase							,       '''tokenizer.4.0.0.json'''							)							,       '''w'''							)							)

															# This should pick the new tokenizer file as the version of Transformers is > 4.0.0
															snake_case_       =     AutoTokenizer.from_pretrained(_UpperCamelCase							)
															self.assertEqual(len(_UpperCamelCase							)							,       len(_UpperCamelCase							) + 1							)
															snake_case_       =     json.loads(new_tokenizer._tokenizer.to_str()							)
															self.assertIn('''huggingface'''							,       json_tokenizer['''model''']['''vocab''']							)

															# Will need to be adjusted if we reach v42 and this test is still here.
															# Should pick the old tokenizer file as the version of Transformers is < 4.0.0
															shutil.move(os.path.join(_UpperCamelCase							,       '''tokenizer.4.0.0.json'''							)							,       os.path.join(_UpperCamelCase							,       '''tokenizer.42.0.0.json'''							)							)
															snake_case_       =     ['''tokenizer.42.0.0.json''']
															tokenizer.save_pretrained(_UpperCamelCase							)
															snake_case_       =     AutoTokenizer.from_pretrained(_UpperCamelCase							)
															self.assertEqual(len(_UpperCamelCase							)							,       len(_UpperCamelCase							)							)
															snake_case_       =     json.loads(new_tokenizer._tokenizer.to_str()							)
															self.assertNotIn('''huggingface'''							,       json_tokenizer['''model''']['''vocab''']							)







			def     snake_case__(					self			:    List[str]							)				->Optional[Any]:
									# This repo has two tokenizer files, one for v4.0.0 and above with an added token, one for versions lower.
									snake_case_       =     '''hf-internal-testing/test-two-tokenizers'''

									# This should pick the new tokenizer file as the version of Transformers is > 4.0.0
									snake_case_       =     AutoTokenizer.from_pretrained(_UpperCamelCase							)
									self.assertEqual(len(_UpperCamelCase							)							,       2_8_9_9_7							)
									snake_case_       =     json.loads(tokenizer._tokenizer.to_str()							)
									self.assertIn('''huggingface'''							,       json_tokenizer['''model''']['''vocab''']							)

									# Testing an older version by monkey-patching the version in the module it's used.
									import transformers as old_transformers

									snake_case_       =     '''3.0.0'''
									snake_case_       =     old_transformers.models.auto.AutoTokenizer.from_pretrained(_UpperCamelCase							)
									self.assertEqual(len(_UpperCamelCase							)							,       2_8_9_9_6							)
									snake_case_       =     json.loads(old_tokenizer._tokenizer.to_str()							)
									self.assertNotIn('''huggingface'''							,       json_tokenizer['''model''']['''vocab''']							)






@require_tokenizers
class      snake_case_       (		unittest.TestCase ):







			'''simple docstring'''

			def     snake_case__(					self			:    str							)				->Optional[int]:
									# See https://github.com/huggingface/transformers/pull/12550
									# and https://github.com/huggingface/tokenizers/issues/537
									snake_case_       =     PreTrainedTokenizerFast.from_pretrained('''robot-test/dummy-tokenizer-wordlevel'''							)
									snake_case_       =     '''The Matrix is a 1999 science fiction action film.'''

									with concurrent.futures.ThreadPoolExecutor() as executor:
															snake_case_       =     [executor.submit(self.fetch							,       _UpperCamelCase							,       _UpperCamelCase							) for i in range(1_0							)]
															snake_case_       =     [future.result() for future in futures]
															self.assertEqual(_UpperCamelCase							,       [[1, 1_0, 0, 8, 0, 1_8, 0, 0, 0, 2] for i in range(1_0							)]							)







			def     snake_case__(					self			:    Optional[int]							,       _UpperCamelCase			:    Dict							,       _UpperCamelCase			:    str							)				->Tuple:
									return tokenizer.encode(_UpperCamelCase							,       truncation='''longest_first'''							,       padding='''longest'''							)