


'''simple docstring'''






import unittest

from transformers import CamembertTokenizer, CamembertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


a_    :			Tuple      				=			get_tests_dir("fixtures/test_sentencepiece.model")
a_    :			List[Any]      				=			get_tests_dir("fixtures/test_sentencepiece_bpe.model")

a_    :			List[str]      				=			'''pt''' if is_torch_available() else '''tf'''




@require_sentencepiece
@require_tokenizers
class        a   (   _lowerCAmelCase     , unittest.TestCase				):
 _lowerCAmelCase           =		CamembertTokenizer
 _lowerCAmelCase           =		CamembertTokenizerFast
 _lowerCAmelCase           =		True
 _lowerCAmelCase           =		True
 def 							__UpperCAmelCase						(       self  )    ->							Tuple:
      super().setUp()

      # We have a SentencePiece fixture for testing
      _a						=							CamembertTokenizer(__magic_name__  )
      tokenizer.save_pretrained(self.tmpdirname  )
 def 							__UpperCAmelCase						(       self  )    ->							str:
      _a						=							"<pad>"
      _a						=							1

      self.assertEqual(self.get_tokenizer()._convert_token_to_id(__magic_name__  )					, __magic_name__  )
      self.assertEqual(self.get_tokenizer()._convert_id_to_token(__magic_name__  )					, __magic_name__  )
 def 							__UpperCAmelCase						(       self  )    ->							str:
      _a						=							list(self.get_tokenizer().get_vocab().keys()  )

      self.assertEqual(vocab_keys[0]					, '<s>NOTUSED'  )
      self.assertEqual(vocab_keys[1]					, '<pad>'  )
      self.assertEqual(vocab_keys[-1]					, '<mask>'  )
      self.assertEqual(len(__magic_name__  )					, 10_04  )
 def 							__UpperCAmelCase						(       self  )    ->							Tuple:
      self.assertEqual(self.get_tokenizer().vocab_size					, 10_05  )
 def 							__UpperCAmelCase						(       self  )    ->							Union[str, Any]:
      _a						=							CamembertTokenizer(__magic_name__  )
      tokenizer.save_pretrained(self.tmpdirname  )
      _a						=							CamembertTokenizerFast.from_pretrained(self.tmpdirname  )

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

      _a						=							tokenizer.encode(__magic_name__  )
      _a						=							rust_tokenizer.encode(__magic_name__  )
      self.assertListEqual(__magic_name__					, __magic_name__  )

      _a						=							tokenizer.encode(__magic_name__					, add_special_tokens=__magic_name__  )
      _a						=							rust_tokenizer.encode(__magic_name__					, add_special_tokens=__magic_name__  )
      self.assertListEqual(__magic_name__					, __magic_name__  )

      # <unk> tokens are not the same for `rust` than for `slow`.
      # Because spm gives back raw token instead of `unk` in EncodeAsPieces
      # tokens = tokenizer.tokenize(sequence)
      _a						=							tokenizer.convert_ids_to_tokens(__magic_name__  )
      _a						=							rust_tokenizer.tokenize(__magic_name__  )
      self.assertListEqual(__magic_name__					, __magic_name__  )
 def 							__UpperCAmelCase						(       self  )    ->							int:




      if not self.test_rust_tokenizer:
           return

      _a						=							self.get_tokenizer()
      _a						=							self.get_rust_tokenizer()

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

      _a						=							tokenizer.tokenize(__magic_name__  )
      _a						=							rust_tokenizer.tokenize(__magic_name__  )
      self.assertListEqual(__magic_name__					, __magic_name__  )

      _a						=							tokenizer.encode(__magic_name__					, add_special_tokens=__magic_name__  )
      _a						=							rust_tokenizer.encode(__magic_name__					, add_special_tokens=__magic_name__  )
      self.assertListEqual(__magic_name__					, __magic_name__  )

      _a						=							self.get_rust_tokenizer()
      _a						=							tokenizer.encode(__magic_name__  )
      _a						=							rust_tokenizer.encode(__magic_name__  )
      self.assertListEqual(__magic_name__					, __magic_name__  )




 @slow
 def 							__UpperCAmelCase						(       self  )    ->							Union[str, Any]:
      _a						=							{"input_ids": [[5, 54, 71_96, 2_97, 30, 23, 7_76, 18, 11, 32_15, 37_05, 82_52, 22, 31_64, 11_81, 21_16, 29, 16, 8_13, 25, 7_91, 33_14, 20, 34_46, 38, 2_75_75, 1_20, 6, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [5, 4_68, 17, 11, 90_88, 20, 15_17, 8, 2_28_04, 1_88_18, 10, 38, 6_29, 6_07, 6_07, 1_42, 19, 71_96, 8_67, 56, 1_03_26, 24, 22_67, 20, 4_16, 50_72, 1_56_12, 2_33, 7_34, 7, 23_99, 27, 16, 30_15, 16_49, 7, 24, 20, 43_38, 23_99, 27, 13, 34_00, 14, 13, 61_89, 8, 9_30, 9, 6]], "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, 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]]}  # noqa: E501
      # fmt: on

      # camembert is a french model. So we also use french texts.
      _a						=							[
          "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=__magic_name__					, model_name='camembert-base'					, revision='3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf'					, sequences=__magic_name__					, )








'''simple docstring'''


lowerCAmelCase					:     Optional[int]												=256
# Modulus to hash a string
lowerCAmelCase					:     Tuple												=1_000_003
def 							UpperCAmelCase_  (						__lowerCamelCase					:					str	,__lowerCamelCase					:					str ):
   lowercase_			:Dict    			= len(__lowerCamelCase )
   lowercase_			:int    			= len(__lowerCamelCase )
   if p_len > t_len:
      return False

   lowercase_			:Any    			= 0
   lowercase_			:Dict    			= 0
   lowercase_			:int    			= 1

   # Calculating the hash of pattern and substring of text
   for i in range(__lowerCamelCase ):
      lowercase_			:Union[str, Any]    			= (ord(pattern[i] ) + p_hash * alphabet_size) % modulus
      lowercase_			:Tuple    			= (ord(text[i] ) + text_hash * alphabet_size) % modulus
      if i == p_len - 1:
         continue
      lowercase_			:Tuple    			= (modulus_power * alphabet_size) % modulus

   for i in range(0	,t_len - p_len + 1 ):
      if text_hash == p_hash and text[i : i + p_len] == pattern:
         return True
      if i == t_len - p_len:
         continue
      # Calculate the https://en.wikipedia.org/wiki/Rolling_hash
      lowercase_			:Tuple    			= (
          (text_hash - ord(text[i] ) * modulus_power) * alphabet_size
          + ord(text[i + p_len] )
      ) % modulus
   return False
def 							UpperCAmelCase_  (						):
   lowercase_			:List[Any]    			= "abc1abc12"
   lowercase_			:List[str]    			= "alskfjaldsabc1abc1abc12k23adsfabcabc"
   lowercase_			:int    			= "alskfjaldsk23adsfabcabc"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase ) and not rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 2)
   lowercase_			:Union[str, Any]    			= "ABABX"
   lowercase_			:Optional[Any]    			= "ABABZABABYABABX"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 3)
   lowercase_			:Dict    			= "AAAB"
   lowercase_			:int    			= "ABAAAAAB"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 4)
   lowercase_			:Tuple    			= "abcdabcy"
   lowercase_			:Union[str, Any]    			= "abcxabcdabxabcdabcdabcy"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 5)
   lowercase_			:Tuple    			= "Lü"
   lowercase_			:List[Any]    			= "Lüsai"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )
   lowercase_			:str    			= "Lue"
   assert not rabin_karp(__lowerCamelCase	,__lowerCamelCase )
   print("Success." )


if __name__ == "__main__":
 test_rabin_karp()


