

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


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



@require_sentencepiece
@require_tokenizers
class   lowercase_   (  __lowercase       ,							unittest.TestCase					):
						UpperCamelCase_      :		Optional[int]										=    XLMRobertaTokenizer
						UpperCamelCase_      :		Any										=    XLMRobertaTokenizerFast
						UpperCamelCase_      :		Union[str, Any]										=    True
						UpperCamelCase_      :		Optional[int]										=    True



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

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



						def 						UpperCamelCase_		(      self				:    Tuple		)   ->					int:
								_snake_case						=							'''<pad>'''
								_snake_case						=							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				:    str		)   ->					List[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(A__		)      , 1002		)



						def 						UpperCamelCase_		(      self				:    List[str]		)   ->					Optional[Any]:
								self.assertEqual(self.get_tokenizer().vocab_size      , 1002		)



						def 						UpperCamelCase_		(      self				:    Optional[int]		)   ->					Dict:
								_snake_case						=							XLMRobertaTokenizer(A__      , keep_accents=A__		)

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

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(A__		)      , [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]      , )

								_snake_case						=							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						=							tokenizer.convert_tokens_to_ids(A__		)
								self.assertListEqual(
								    A__      , [
								        value + tokenizer.fairseq_offset
								        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
								        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
								    ]      , )

								_snake_case						=							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				:    int		)   ->					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(A__      , **A__		)
												_snake_case						=							self.tokenizer_class.from_pretrained(A__      , **A__		)

												_snake_case						=							tempfile.mkdtemp()

												_snake_case						=							tokenizer_r.save_pretrained(A__		)
												_snake_case						=							tokenizer_p.save_pretrained(A__		)

												# 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(A__      , A__		)

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

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

												shutil.rmtree(A__		)

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

												_snake_case						=							tokenizer_r.save_pretrained(A__      , legacy_format=A__		)
												_snake_case						=							tokenizer_p.save_pretrained(A__		)

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

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

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

												shutil.rmtree(A__		)

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

												_snake_case						=							tokenizer_r.save_pretrained(A__      , legacy_format=A__		)
												_snake_case						=							tokenizer_p.save_pretrained(A__		)

												# 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(A__		)
												_snake_case						=							tokenizer_p.from_pretrained(A__		)

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

												shutil.rmtree(A__		)



						@cached_property
						def 						UpperCamelCase_		(      self				:    int		)   ->					str:
								return XLMRobertaTokenizer.from_pretrained('''xlm-roberta-base'''		)



						def 						UpperCamelCase_		(      self				:    List[Any]		)   ->					List[Any]:
								with tempfile.NamedTemporaryFile() as f:
										shutil.copyfile(A__      , f.name		)
										_snake_case						=							XLMRobertaTokenizer(f.name      , keep_accents=A__		)
										_snake_case						=							pickle.dumps(A__		)
								pickle.loads(A__		)



						def 						UpperCamelCase_		(      self				:    Tuple		)   ->					Tuple:
								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(A__		)
								_snake_case						=							rust_tokenizer.tokenize(A__		)
								self.assertListEqual(A__      , A__		)

								_snake_case						=							tokenizer.encode(A__      , add_special_tokens=A__		)
								_snake_case						=							rust_tokenizer.encode(A__      , add_special_tokens=A__		)
								self.assertListEqual(A__      , A__		)

								_snake_case						=							self.get_rust_tokenizer()
								_snake_case						=							tokenizer.encode(A__		)
								_snake_case						=							rust_tokenizer.encode(A__		)
								self.assertListEqual(A__      , A__		)



						@slow
						def 						UpperCamelCase_		(      self				:    Optional[int]		)   ->					List[str]:
								_snake_case						=							'''Hello World!'''
								_snake_case						=							[0, 35378, 6661, 38, 2]
								# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
								# xlmr.eval()
								# xlmr.encode(symbols)

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



						@slow
						def 						UpperCamelCase_		(      self				:    Union[str, Any]		)   ->					Optional[int]:
								_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,
								    3293,
								    83,
								    10,
								    4552,
								    4989,
								    7986,
								    678,
								    10,
								    5915,
								    111,
								    179459,
								    124850,
								    4,
								    6044,
								    237,
								    12,
								    6,
								    5,
								    6,
								    4,
								    6780,
								    705,
								    15,
								    1388,
								    44,
								    378,
								    10114,
								    711,
								    152,
								    20,
								    6,
								    5,
								    22376,
								    642,
								    1221,
								    15190,
								    34153,
								    450,
								    5608,
								    959,
								    1119,
								    57702,
								    136,
								    186,
								    47,
								    1098,
								    29367,
								    47,
								    # 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,
								    6044,
								    237,
								    6284,
								    50901,
								    528,
								    31,
								    90,
								    34,
								    927,
								    2,
								]
								# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
								# xlmr.eval()
								# xlmr.encode(symbols)

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







						@slow
						def 						UpperCamelCase_		(      self				:    Union[str, Any]		)   ->					Dict:
								# fmt: off
								_snake_case						=							{'''input_ids''': [[0, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 5428, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 12399, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 122009, 115774, 23, 805, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [0, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 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, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 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=A__      , model_name='''xlm-roberta-base'''      , revision='''d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3'''      , )




from __future__ import annotations



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase					)							->     bool:



  """simple docstring"""






  _snake_case						=							get_failure_array(_UpperCamelCase					)

  # 2) Step through text searching for pattern
  _snake_case,					_snake_case						=							0, 0  # index into text, pattern
  while i < len(_UpperCamelCase					):
    if pattern[j] == text[i]:
      if j == (len(_UpperCamelCase					) - 1):
        return True
      j += 1

    # if this is a prefix in our pattern
    # just go back far enough to continue
    elif j > 0:
      _snake_case						=							failure[j - 1]
      continue
    i += 1
  return False



def 				snake_case_(_UpperCamelCase					)							->     list[int]:



  """simple docstring"""






  _snake_case						=							[0]
  _snake_case						=							0
  _snake_case						=							1
  while j < len(_UpperCamelCase					):
    if pattern[i] == pattern[j]:
      i += 1
    elif i > 0:
      _snake_case						=							failure[i - 1]
      continue
    j += 1
    failure.append(_UpperCamelCase					)
  return failure


if __name__ == "__main__":
 # Test 1)
 __A      		=     '''abc1abc12'''
 __A      		=     '''alskfjaldsabc1abc1abc12k23adsfabcabc'''
 __A      		=     '''alskfjaldsk23adsfabcabc'''
 assert kmp(pattern, texta) and not kmp(pattern, texta)

 # Test 2)
 __A      		=     '''ABABX'''
 __A      		=     '''ABABZABABYABABX'''
 assert kmp(pattern, text)

 # Test 3)
 __A      		=     '''AAAB'''
 __A      		=     '''ABAAAAAB'''
 assert kmp(pattern, text)

 # Test 4)
 __A      		=     '''abcdabcy'''
 __A      		=     '''abcxabcdabxabcdabcdabcy'''
 assert kmp(pattern, text)

 # Test 5)
 __A      		=     '''aabaabaaa'''
 assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]

