



import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    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        lowerCAmelCase__					(  _lowerCamelCase ,				unittest.TestCase       ):
				A_   :     Any								=     BertTokenizer
				A_   :     Tuple								=     BertTokenizerFast
				A_   :     Dict								=     True
				A_   :     int								=     True
				A_   :     Optional[int]								=     filter_non_english


				def __UpperCamelCase						(							self      :  str       )		->     Optional[int]:
											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 __UpperCamelCase						(							self      :  int						, __UpperCamelCase      :  Optional[Any]       )		->     Any:
											A      						=    'UNwant\u00E9d,running'
											A      						=    'unwanted, running'
											return input_text, output_text


				def __UpperCamelCase						(							self      :  Optional[int]       )		->     int:
											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]       )


				def __UpperCamelCase						(							self      :  Optional[Any]       )		->     Optional[Any]:
											if not self.test_rust_tokenizer:
																		return

											A      						=    self.get_tokenizer()
											A      						=    self.get_rust_tokenizer()

											A      						=    'UNwant\u00E9d,running'

											A      						=    tokenizer.tokenize(__UpperCamelCase       )
											A      						=    rust_tokenizer.tokenize(__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )

											A      						=    tokenizer.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )
											A      						=    rust_tokenizer.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )

											A      						=    self.get_rust_tokenizer()
											A      						=    tokenizer.encode(__UpperCamelCase       )
											A      						=    rust_tokenizer.encode(__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )

											# With lower casing
											A      						=    self.get_tokenizer(do_lower_case=__UpperCamelCase       )
											A      						=    self.get_rust_tokenizer(do_lower_case=__UpperCamelCase       )

											A      						=    'UNwant\u00E9d,running'

											A      						=    tokenizer.tokenize(__UpperCamelCase       )
											A      						=    rust_tokenizer.tokenize(__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )

											A      						=    tokenizer.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )
											A      						=    rust_tokenizer.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )

											A      						=    self.get_rust_tokenizer()
											A      						=    tokenizer.encode(__UpperCamelCase       )
											A      						=    rust_tokenizer.encode(__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )


				def __UpperCamelCase						(							self      :  List[str]       )		->     Optional[int]:
											A      						=    BasicTokenizer()

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


				def __UpperCamelCase						(							self      :  Optional[Any]       )		->     Any:
											A      						=    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 __UpperCamelCase						(							self      :  Dict       )		->     Any:
											A      						=    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 __UpperCamelCase						(							self      :  Optional[int]       )		->     List[str]:
											A      						=    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 __UpperCamelCase						(							self      :  str       )		->     List[str]:
											A      						=    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 __UpperCamelCase						(							self      :  Tuple       )		->     int:
											A      						=    BasicTokenizer(do_lower_case=__UpperCamelCase       )

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


				def __UpperCamelCase						(							self      :  Optional[Any]       )		->     int:
											A      						=    BasicTokenizer(do_lower_case=__UpperCamelCase						, strip_accents=__UpperCamelCase       )

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


				def __UpperCamelCase						(							self      :  int       )		->     Any:
											A      						=    BasicTokenizer(do_lower_case=__UpperCamelCase						, strip_accents=__UpperCamelCase       )

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


				def __UpperCamelCase						(							self      :  Union[str, Any]       )		->     Tuple:
											A      						=    BasicTokenizer(do_lower_case=__UpperCamelCase						, never_split=['[UNK]']       )

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


				def __UpperCamelCase						(							self      :  Union[str, Any]       )		->     Optional[int]:
											A      						=    BasicTokenizer()
											A      						=    'a\n\'ll !!to?\'d of, can\'t.'
											A      						=    ['a', '\'', 'll', '!', '!', 'to', '?', '\'', 'd', 'of', ',', 'can', '\'', 't', '.']
											self.assertListEqual(tokenizer.tokenize(__UpperCamelCase       )						, __UpperCamelCase       )


				def __UpperCamelCase						(							self      :  str       )		->     List[Any]:
											A      						=    ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

											A      						=    {}
											for i, token in enumerate(__UpperCamelCase       ):
																		A      						=    i
											A      						=    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 __UpperCamelCase						(							self      :  Dict       )		->     int:
											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 __UpperCamelCase						(							self      :  int       )		->     str:
											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 __UpperCamelCase						(							self      :  Optional[Any]       )		->     int:
											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 __UpperCamelCase						(							self      :  Tuple       )		->     Tuple:
											A      						=    self.get_tokenizer()
											A      						=    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 __UpperCamelCase						(							self      :  Any       )		->     Tuple:
											A      						=    self.tokenizer_class.from_pretrained('bert-base-uncased'       )

											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 == [101] + text + [102]
											assert encoded_pair == [101] + text + [102] + text_a + [102]


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

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

																									A      						=    tokenizer_r.do_lower_case if hasattr(__UpperCamelCase						, 'do_lower_case'       ) else False
																									A      						=    (
																									    [
																									        ((0, 0), tokenizer_r.cls_token),
																									        ((0, 1), 'A'),
																									        ((1, 2), ','),
																									        ((3, 5), 'na'),
																									        ((5, 6), '##ï'),
																									        ((6, 8), '##ve'),
																									        ((9, 15), tokenizer_r.mask_token),
																									        ((16, 21), 'Allen'),
																									        ((21, 23), '##NL'),
																									        ((23, 24), '##P'),
																									        ((25, 33), 'sentence'),
																									        ((33, 34), '.'),
																									        ((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, 15), tokenizer_r.mask_token),
																									        ((16, 21), 'allen'),
																									        ((21, 23), '##nl'),
																									        ((23, 24), '##p'),
																									        ((25, 33), 'sentence'),
																									        ((33, 34), '.'),
																									        ((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 __UpperCamelCase						(							self      :  Union[str, Any]       )		->     Dict:
											A      						=    ['的', '人', '有']
											A      						=    ''.join(__UpperCamelCase       )
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''       ):
																									A      						=    True
																									A      						=    self.tokenizer_class.from_pretrained(__UpperCamelCase						, **__UpperCamelCase       )
																									A      						=    self.rust_tokenizer_class.from_pretrained(__UpperCamelCase						, **__UpperCamelCase       )

																									A      						=    tokenizer_p.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )
																									A      						=    tokenizer_r.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )

																									A      						=    tokenizer_r.convert_ids_to_tokens(__UpperCamelCase       )
																									A      						=    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       )

																									A      						=    False
																									A      						=    self.rust_tokenizer_class.from_pretrained(__UpperCamelCase						, **__UpperCamelCase       )
																									A      						=    self.tokenizer_class.from_pretrained(__UpperCamelCase						, **__UpperCamelCase       )

																									A      						=    tokenizer_r.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )
																									A      						=    tokenizer_p.encode(__UpperCamelCase						, add_special_tokens=__UpperCamelCase       )

																									A      						=    tokenizer_r.convert_ids_to_tokens(__UpperCamelCase       )
																									A      						=    tokenizer_p.convert_ids_to_tokens(__UpperCamelCase       )

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



"""simple docstring"""

import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class  lowerCamelCase__    (		_a      , unittest.TestCase     ):
      a			:  Union[str, Any]           =		BarthezTokenizer
      a			:  Any           =		BarthezTokenizerFast
      a			:  Tuple           =		True
      a			:  List[Any]           =		True
      def SCREAMING_SNAKE_CASE_						(		self						:						List[str]				):






       '''simple docstring'''


       super().setUp()

       __lowercase						=						BarthezTokenizerFast.from_pretrained("""moussaKam/mbarthez"""				)
       tokenizer.save_pretrained(self.tmpdirname				)
       tokenizer.save_pretrained(self.tmpdirname   ,							legacy_format=A_				)
       __lowercase						=						tokenizer
      def SCREAMING_SNAKE_CASE_						(		self						:						Tuple				):






       '''simple docstring'''


       __lowercase						=						"""<pad>"""
       __lowercase						=						1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_				)   ,							A_				)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_				)   ,							A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						List[str]				):






       '''simple docstring'''


       __lowercase						=						list(self.get_tokenizer().get_vocab().keys()				)

       self.assertEqual(vocab_keys[0]   ,							"""<s>"""				)
       self.assertEqual(vocab_keys[1]   ,							"""<pad>"""				)
       self.assertEqual(vocab_keys[-1]   ,							"""<mask>"""				)
       self.assertEqual(len(A_				)   ,							1_0_1_1_2_2				)
      def SCREAMING_SNAKE_CASE_						(		self						:						Union[str, Any]				):






       '''simple docstring'''


       self.assertEqual(self.get_tokenizer().vocab_size   ,							1_0_1_1_2_2				)
      @require_torch
      def SCREAMING_SNAKE_CASE_						(		self						:						str				):






       '''simple docstring'''


       __lowercase						=						["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
       __lowercase						=						[0, 5_7, 3_0_1_8, 7_0_3_0_7, 9_1, 2]

       __lowercase						=						self.tokenizer(
           A_   ,							max_length=len(A_				)   ,							padding=A_   ,							truncation=A_   ,							return_tensors="""pt"""				)
       self.assertIsInstance(A_   ,							A_				)

       self.assertEqual((2, 6)   ,							batch.input_ids.shape				)
       self.assertEqual((2, 6)   ,							batch.attention_mask.shape				)
       __lowercase						=						batch.input_ids.tolist()[0]
       self.assertListEqual(A_   ,							A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						int				):






       '''simple docstring'''


       if not self.test_rust_tokenizer:
        return

       __lowercase						=						self.get_tokenizer()
       __lowercase						=						self.get_rust_tokenizer()

       __lowercase						=						"""I was born in 92000, and this is falsé."""

       __lowercase						=						tokenizer.tokenize(A_				)
       __lowercase						=						rust_tokenizer.tokenize(A_				)
       self.assertListEqual(A_   ,							A_				)

       __lowercase						=						tokenizer.encode(A_   ,							add_special_tokens=A_				)
       __lowercase						=						rust_tokenizer.encode(A_   ,							add_special_tokens=A_				)
       self.assertListEqual(A_   ,							A_				)

       __lowercase						=						self.get_rust_tokenizer()
       __lowercase						=						tokenizer.encode(A_				)
       __lowercase						=						rust_tokenizer.encode(A_				)
       self.assertListEqual(A_   ,							A_				)






      @slow
      def SCREAMING_SNAKE_CASE_						(		self						:						Union[str, Any]				):






       '''simple docstring'''


       __lowercase						=						{"""input_ids""": [[0, 4_9_0, 1_4_3_2_8, 4_5_0_7, 3_5_4, 4_7, 4_3_6_6_9, 9_5, 2_5, 7_8_1_1_7, 2_0_2_1_5, 1_9_7_7_9, 1_9_0, 2_2, 4_0_0, 4, 3_5_3_4_3, 8_0_3_1_0, 6_0_3, 8_6, 2_4_9_3_7, 1_0_5, 3_3_4_3_8, 9_4_7_6_2, 1_9_6, 3_9_6_4_2, 7, 1_5, 1_5_9_3_3, 1_7_3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 1_0_5_3_4, 8_7, 2_5, 6_6, 3_3_5_8, 1_9_6, 5_5_2_8_9, 8, 8_2_9_6_1, 8_1, 2_2_0_4, 7_5_2_0_3, 7, 1_5, 7_6_3, 1_2_9_5_6, 2_1_6, 1_7_8, 1_4_3_2_8, 9_5_9_5, 1_3_7_7, 6_9_6_9_3, 7, 4_4_8, 7_1_0_2_1, 1_9_6, 1_8_1_0_6, 1_4_3_7, 1_3_9_7_4, 1_0_8, 9_0_8_3, 4, 4_9_3_1_5, 7, 3_9, 8_6, 1_3_2_6, 2_7_9_3, 4_6_3_3_3, 4, 4_4_8, 1_9_6, 7_4_5_8_8, 7, 4_9_3_1_5, 7, 3_9, 2_1, 8_2_2, 3_8_4_7_0, 7_4, 2_1, 6_6_7_2_3, 6_2_4_8_0, 8, 2_2_0_5_0, 5, 2]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
       # fmt: on

       # moussaKam/mbarthez is a french model. So we also use french texts.
       __lowercase						=						[
           """Le transformeur est un modèle d'apprentissage profond introduit en 2017, """
           """utilisé principalement dans le domaine du traitement automatique des langues (TAL).""",
           """À l'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus """
           """pour gérer des données séquentielles, telles que le langage naturel, pour des tâches """
           """telles que la traduction et la synthèse de texte.""",
       ]

       self.tokenizer_integration_test_util(
           expected_encoding=A_   ,							model_name="""moussaKam/mbarthez"""   ,							revision="""c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6"""   ,							sequences=A_   ,							)
