

import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_			      =      get_tests_dir('''fixtures/test_sentencepiece.model''')





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







			'''simple docstring'''

			SCREAMING_SNAKE_CASE	:  List[Any]		     =							XLMRobertaTokenizer
			SCREAMING_SNAKE_CASE	:  str		     =							XLMRobertaTokenizerFast
			SCREAMING_SNAKE_CASE	:  Tuple		     =							True
			SCREAMING_SNAKE_CASE	:  List[str]		     =							True







			def 							snake_case__(	self					:							Any				) ->Optional[Any]:
									super().setUp()

									# We have a SentencePiece fixture for testing
									snake_case_  =      XLMRobertaTokenizer(_UpperCamelCase				,  keep_accents=_UpperCamelCase				)
									tokenizer.save_pretrained(self.tmpdirname				)







			def 							snake_case__(	self					:							Optional[int]				) ->int:
									snake_case_  =      '''<pad>'''
									snake_case_  =      1

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCamelCase				)				,  _UpperCamelCase				)
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCamelCase				)				,  _UpperCamelCase				)







			def 							snake_case__(	self					:							str				) ->Optional[Any]:
									snake_case_  =      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(_UpperCamelCase				)				,  1_0_0_2				)







			def 							snake_case__(	self					:							Union[str, Any]				) ->Optional[int]:
									self.assertEqual(self.get_tokenizer().vocab_size				,  1_0_0_2				)







			def 							snake_case__(	self					:							int				) ->Any:
									snake_case_  =      XLMRobertaTokenizer(_UpperCamelCase				,  keep_accents=_UpperCamelCase				)

									snake_case_  =      tokenizer.tokenize('''This is a test'''				)
									self.assertListEqual(_UpperCamelCase				,  ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']				)

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(_UpperCamelCase				)				,  [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]				,  )

									snake_case_  =      tokenizer.tokenize('''I was born in 92000, and this is falsé.'''				)
									self.assertListEqual(
									    _UpperCamelCase				,  [
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''9''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''é''',
									        '''.''',
									    ]				,  )
									snake_case_  =      tokenizer.convert_tokens_to_ids(_UpperCamelCase				)
									self.assertListEqual(
									    _UpperCamelCase				,  [
									        value + tokenizer.fairseq_offset
									        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
									        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
									    ]				,  )

									snake_case_  =      tokenizer.convert_ids_to_tokens(_UpperCamelCase				)
									self.assertListEqual(
									    _UpperCamelCase				,  [
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''<unk>''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''<unk>''',
									        '''.''',
									    ]				,  )







			def 							snake_case__(	self					:							Tuple				) ->Optional[int]:
									if not self.test_slow_tokenizer:
															# as we don't have a slow version, we can't compare the outputs between slow and fast versions
															return

									snake_case_  =      (self.rust_tokenizer_class, '''hf-internal-testing/tiny-xlm-roberta''', {})
									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_  =      self.tokenizer_class.from_pretrained(_UpperCamelCase				,  **_UpperCamelCase				)

																					snake_case_  =      tempfile.mkdtemp()

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

																					# Checks it save with the same files + the tokenizer.json file for the fast one
																					self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files				)				)
																					snake_case_  =      tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f				)
																					self.assertSequenceEqual(_UpperCamelCase				,  _UpperCamelCase				)

																					# Checks everything loads correctly in the same way
																					snake_case_  =      tokenizer_r.from_pretrained(_UpperCamelCase				)
																					snake_case_  =      tokenizer_p.from_pretrained(_UpperCamelCase				)

																					# Check special tokens are set accordingly on Rust and Python
																					for key in tokenizer_pp.special_tokens_map:
																											self.assertTrue(hasattr(_UpperCamelCase				,  _UpperCamelCase				)				)
																											# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																											# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																					shutil.rmtree(_UpperCamelCase				)

																					# Save tokenizer rust, legacy_format=True
																					snake_case_  =      tempfile.mkdtemp()

																					snake_case_  =      tokenizer_r.save_pretrained(_UpperCamelCase				,  legacy_format=_UpperCamelCase				)
																					snake_case_  =      tokenizer_p.save_pretrained(_UpperCamelCase				)

																					# Checks it save with the same files
																					self.assertSequenceEqual(_UpperCamelCase				,  _UpperCamelCase				)

																					# Checks everything loads correctly in the same way
																					snake_case_  =      tokenizer_r.from_pretrained(_UpperCamelCase				)
																					snake_case_  =      tokenizer_p.from_pretrained(_UpperCamelCase				)

																					# Check special tokens are set accordingly on Rust and Python
																					for key in tokenizer_pp.special_tokens_map:
																											self.assertTrue(hasattr(_UpperCamelCase				,  _UpperCamelCase				)				)

																					shutil.rmtree(_UpperCamelCase				)

																					# Save tokenizer rust, legacy_format=False
																					snake_case_  =      tempfile.mkdtemp()

																					snake_case_  =      tokenizer_r.save_pretrained(_UpperCamelCase				,  legacy_format=_UpperCamelCase				)
																					snake_case_  =      tokenizer_p.save_pretrained(_UpperCamelCase				)

																					# Checks it saved the tokenizer.json file
																					self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files				)				)

																					# Checks everything loads correctly in the same way
																					snake_case_  =      tokenizer_r.from_pretrained(_UpperCamelCase				)
																					snake_case_  =      tokenizer_p.from_pretrained(_UpperCamelCase				)

																					# Check special tokens are set accordingly on Rust and Python
																					for key in tokenizer_pp.special_tokens_map:
																											self.assertTrue(hasattr(_UpperCamelCase				,  _UpperCamelCase				)				)

																					shutil.rmtree(_UpperCamelCase				)







			@cached_property
			def 							snake_case__(	self					:							int				) ->List[str]:
									return XLMRobertaTokenizer.from_pretrained('''xlm-roberta-base'''				)







			def 							snake_case__(	self					:							Any				) ->Union[str, Any]:
									with tempfile.NamedTemporaryFile() as f:
															shutil.copyfile(_UpperCamelCase				,  f.name				)
															snake_case_  =      XLMRobertaTokenizer(f.name				,  keep_accents=_UpperCamelCase				)
															snake_case_  =      pickle.dumps(_UpperCamelCase				)
									pickle.loads(_UpperCamelCase				)







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

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

									snake_case_  =      '''I was born in 92000, and this is falsé.'''

									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				)







			@slow
			def 							snake_case__(	self					:							Optional[Any]				) ->str:
									snake_case_  =      '''Hello World!'''
									snake_case_  =      [0, 3_5_3_7_8, 6_6_6_1, 3_8, 2]
									# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
									# xlmr.eval()
									# xlmr.encode(symbols)

									self.assertListEqual(_UpperCamelCase				,  self.big_tokenizer.encode(_UpperCamelCase				)				)







			@slow
			def 							snake_case__(	self					:							str				) ->Tuple:
									snake_case_  =      (
									    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
									    ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
									)
									snake_case_  =      [
									    0,
									    3_2_9_3,
									    8_3,
									    1_0,
									    4_5_5_2,
									    4_9_8_9,
									    7_9_8_6,
									    6_7_8,
									    1_0,
									    5_9_1_5,
									    1_1_1,
									    1_7_9_4_5_9,
									    1_2_4_8_5_0,
									    4,
									    6_0_4_4,
									    2_3_7,
									    1_2,
									    6,
									    5,
									    6,
									    4,
									    6_7_8_0,
									    7_0_5,
									    1_5,
									    1_3_8_8,
									    4_4,
									    3_7_8,
									    1_0_1_1_4,
									    7_1_1,
									    1_5_2,
									    2_0,
									    6,
									    5,
									    2_2_3_7_6,
									    6_4_2,
									    1_2_2_1,
									    1_5_1_9_0,
									    3_4_1_5_3,
									    4_5_0,
									    5_6_0_8,
									    9_5_9,
									    1_1_1_9,
									    5_7_7_0_2,
									    1_3_6,
									    1_8_6,
									    4_7,
									    1_0_9_8,
									    2_9_3_6_7,
									    4_7,
									    # 4426, # What fairseq tokenizes from "<unk>": "_<"
									    # 3678, # What fairseq tokenizes from "<unk>": "unk"
									    # 2740, # What fairseq tokenizes from "<unk>": ">"
									    3,  # What we tokenize from "<unk>": "<unk>"
									    6,  # Residue from the tokenization: an extra sentencepiece underline
									    4,
									    6_0_4_4,
									    2_3_7,
									    6_2_8_4,
									    5_0_9_0_1,
									    5_2_8,
									    3_1,
									    9_0,
									    3_4,
									    9_2_7,
									    2,
									]
									# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
									# xlmr.eval()
									# xlmr.encode(symbols)

									self.assertListEqual(_UpperCamelCase				,  self.big_tokenizer.encode(_UpperCamelCase				)				)







			@slow
			def 							snake_case__(	self					:							Dict				) ->List[str]:
									# fmt: off
									snake_case_  =      {'''input_ids''': [[0, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [0, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 7, 5, 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, 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], [0, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 5, 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, 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, 1, 1, 1, 1]], '''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, 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, 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, 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, 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, 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, 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, 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, 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, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=_UpperCamelCase				,  model_name='''xlm-roberta-base'''				,  revision='''d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3'''				,  )




'''simple docstring'''

import unittest

from transformers import SPIECE_UNDERLINE, XLNetTokenizer, XLNetTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


a							   =				get_tests_dir('fixtures/test_sentencepiece.model')






@require_sentencepiece
@require_tokenizers
class 						a_		(     snake_case    ,   unittest.TestCase    ):
							UpperCAmelCase			:		Tuple        =				XLNetTokenizer
							UpperCAmelCase			:		str        =				XLNetTokenizerFast
							UpperCAmelCase			:		str        =				True
							UpperCAmelCase			:		str        =				True


							def    UpperCamelCase     (				self   :						Optional[Any]			)			->					int:
										super().setUp()

										# We have a SentencePiece fixture for testing
										snake_case:    Tuple      							=XLNetTokenizer(a_      ,						keep_accents=a_			)
										tokenizer.sanitize_special_tokens()
										tokenizer.save_pretrained(self.tmpdirname			)


							def    UpperCamelCase     (				self   :						str			)			->					str:
										snake_case:    List[str]      							='<s>'
										snake_case:    Tuple      							=1

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(a_			)      ,						a_			)
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(a_			)      ,						a_			)


							def    UpperCamelCase     (				self   :						Any			)			->					int:
										snake_case:    str      							=list(self.get_tokenizer().get_vocab().keys()			)

										self.assertEqual(vocab_keys[0]      ,						'<unk>'			)
										self.assertEqual(vocab_keys[1]      ,						'<s>'			)
										self.assertEqual(vocab_keys[-1]      ,						'<eod>'			)
										self.assertEqual(len(a_			)      ,						1_0_0_6			)


							def    UpperCamelCase     (				self   :						Optional[Any]			)			->					List[Any]:
										self.assertEqual(self.get_tokenizer().vocab_size      ,						1_0_0_0			)


							def    UpperCamelCase     (				self   :						Union[str, Any]			)			->					Tuple:
										snake_case:    str      							=XLNetTokenizer(a_      ,						keep_accents=a_			)

										snake_case:    Dict      							=tokenizer.tokenize('This is a test'			)
										self.assertListEqual(a_      ,						['▁This', '▁is', '▁a', '▁t', 'est']			)

										self.assertListEqual(tokenizer.convert_tokens_to_ids(a_			)      ,						[2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]			)

										snake_case:    List[str]      							=tokenizer.tokenize('I was born in 92000, and this is falsé.'			)
										self.assertListEqual(
										    a_      ,						[
										        SPIECE_UNDERLINE + 'I',
										        SPIECE_UNDERLINE + 'was',
										        SPIECE_UNDERLINE + 'b',
										        'or',
										        'n',
										        SPIECE_UNDERLINE + 'in',
										        SPIECE_UNDERLINE + '',
										        '9',
										        '2',
										        '0',
										        '0',
										        '0',
										        ',',
										        SPIECE_UNDERLINE + 'and',
										        SPIECE_UNDERLINE + 'this',
										        SPIECE_UNDERLINE + 'is',
										        SPIECE_UNDERLINE + 'f',
										        'al',
										        's',
										        'é',
										        '.',
										    ]      ,						)
										snake_case:    Optional[int]      							=tokenizer.convert_tokens_to_ids(a_			)
										self.assertListEqual(a_      ,						[8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]			)

										snake_case:    List[str]      							=tokenizer.convert_ids_to_tokens(a_			)
										self.assertListEqual(
										    a_      ,						[
										        SPIECE_UNDERLINE + 'I',
										        SPIECE_UNDERLINE + 'was',
										        SPIECE_UNDERLINE + 'b',
										        'or',
										        'n',
										        SPIECE_UNDERLINE + 'in',
										        SPIECE_UNDERLINE + '',
										        '<unk>',
										        '2',
										        '0',
										        '0',
										        '0',
										        ',',
										        SPIECE_UNDERLINE + 'and',
										        SPIECE_UNDERLINE + 'this',
										        SPIECE_UNDERLINE + 'is',
										        SPIECE_UNDERLINE + 'f',
										        'al',
										        's',
										        '<unk>',
										        '.',
										    ]      ,						)


							def    UpperCamelCase     (				self   :						Dict			)			->					int:
										snake_case:    Tuple      							=XLNetTokenizer(a_      ,						do_lower_case=a_			)
										snake_case:    Optional[int]      							=tokenizer.tokenize('I was born in 92000, and this is falsé.'			)
										self.assertListEqual(
										    a_      ,						[
										        SPIECE_UNDERLINE + '',
										        'i',
										        SPIECE_UNDERLINE + 'was',
										        SPIECE_UNDERLINE + 'b',
										        'or',
										        'n',
										        SPIECE_UNDERLINE + 'in',
										        SPIECE_UNDERLINE + '',
										        '9',
										        '2',
										        '0',
										        '0',
										        '0',
										        ',',
										        SPIECE_UNDERLINE + 'and',
										        SPIECE_UNDERLINE + 'this',
										        SPIECE_UNDERLINE + 'is',
										        SPIECE_UNDERLINE + 'f',
										        'al',
										        'se',
										        '.',
										    ]      ,						)
										self.assertListEqual(tokenizer.tokenize('H\u00E9llo'			)      ,						['▁he', 'll', 'o']			)


							def    UpperCamelCase     (				self   :						Tuple			)			->					Dict:
										snake_case:    str      							=XLNetTokenizer(a_      ,						do_lower_case=a_			)
										snake_case:    List[Any]      							=tokenizer.tokenize('I was born in 92000, and this is falsé.'			)
										self.assertListEqual(
										    a_      ,						[
										        SPIECE_UNDERLINE + 'I',
										        SPIECE_UNDERLINE + 'was',
										        SPIECE_UNDERLINE + 'b',
										        'or',
										        'n',
										        SPIECE_UNDERLINE + 'in',
										        SPIECE_UNDERLINE + '',
										        '9',
										        '2',
										        '0',
										        '0',
										        '0',
										        ',',
										        SPIECE_UNDERLINE + 'and',
										        SPIECE_UNDERLINE + 'this',
										        SPIECE_UNDERLINE + 'is',
										        SPIECE_UNDERLINE + 'f',
										        'al',
										        'se',
										        '.',
										    ]      ,						)


							@slow
							def    UpperCamelCase     (				self   :						List[str]			)			->					Optional[Any]:
										snake_case:    Tuple      							=XLNetTokenizer.from_pretrained('xlnet-base-cased'			)

										snake_case:    Optional[Any]      							=tokenizer.encode('sequence builders'      ,						add_special_tokens=a_			)
										snake_case:    List[str]      							=tokenizer.encode('multi-sequence build'      ,						add_special_tokens=a_			)

										snake_case:    Optional[Any]      							=tokenizer.build_inputs_with_special_tokens(a_			)
										snake_case:    Any      							=tokenizer.build_inputs_with_special_tokens(a_      ,						a_			)

										assert encoded_sentence == text + [4, 3]
										assert encoded_pair == text + [4] + text_a + [4, 3]




							@slow
							def    UpperCamelCase     (				self   :						Dict			)			->					Optional[int]:
										# fmt: off
										snake_case:    Dict      							={'input_ids': [[1_7, 2_1_4_4_2, 2_7_0, 1_7, 1_0, 1_4_6_4_5, 3_1_8, 3_4, 1_7, 4_5_4_6, 3_1_4_5, 7_8_7, 1_3, 7_7_5_2, 2_2_0_1_8, 2_3, 2_1, 1_7, 4_5_4_6, 3_1_4_5, 7_8_7, 1_3, 3_3_5_2, 1_4_4_3_1, 1_3, 5_5_0_0, 1_1, 1_1_7_6, 5_8_0, 1_3, 1_6_8_1_9, 4_7_9_7, 2_3, 1_7, 1_0, 1_7_1_3_5, 6_5_8, 1_9, 4_5_7, 7_9_3_2, 1_3, 1_8_4, 1_9, 3_1_5_4, 1_7_1_3_5, 6_4_6_8, 1_9, 1_4_0_4, 1_2_2_6_9, 1_9, 4_2_2_9, 5_3_5_6, 1_6_2_6_4, 4_6, 1_9, 1_7, 2_0_5_4_5, 1_0_3_9_5, 9, 9, 9, 1_1, 2_8, 6_4_2_1, 9_5_3_1, 2_0_7_2_9, 1_7, 1_0, 3_5_3, 1_7_0_2_2, 1_1, 2_1, 6_4_2_1, 9_5_3_1, 1_6_9_4_9, 1_7, 1_0, 1_1_5_0_9, 7_5_3, 1_1, 3_3, 9_5, 2_4_2_1, 7_3_8_5, 9_5_6, 1_4_4_3_1, 2_6_2_6, 2_5, 8_4_2, 7_3_8_5, 4_8_3_6, 2_1, 1_4_2_9, 2_2_7_2, 9_8_5_5, 3_1_2_0, 1_6_1, 2_4_7_3_8, 1_9, 1_3_2_0_3, 6_5_8, 2_1_8, 7_8_7, 2_1, 4_3_0, 1_8_4_8_2, 8_4_7, 2_6_3_7, 9, 4, 3], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 3_2_2, 2_2_1_7_8, 2_7, 1_0_6_4, 2_2, 9_5_6, 1_3, 1_1_1_0_1, 1_4_2_9, 5_8_5_4, 2_4_3_1_3, 1_8_9_5_3, 4_0, 4_2_2, 2_4_3_6_6, 6_8, 1_7_5_8, 3_7, 1_0_4_8_3, 1_4_2_5_7, 3_1, 2_0_7, 2_6_3, 2_1, 2_0_3, 3_7_7_3, 2_5, 7_1, 9_7_3_5, 9, 4, 3], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 3_2, 2_0_4_9, 3_4_4_2, 1_7, 1_3_8_9_4, 3_3_8_0, 2_3, 9_5, 1_8, 1_7_6_3_4, 2_2_8_8, 9, 4, 3]], 'token_type_ids': [[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, 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, 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, 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, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 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, 0, 0, 0, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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, 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, 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], [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, 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, 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, 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]]}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=a_      ,						model_name='xlnet-base-cased'      ,						revision='c841166438c31ec7ca9a106dee7bb312b73ae511'      ,						)




