





'''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   A_	(  lowerCAmelCase_							,						unittest.TestCase			):
 _lowerCamelCase  : Dict           =							BarthezTokenizer
 _lowerCamelCase  : Dict           =							BarthezTokenizerFast
 _lowerCamelCase  : Dict           =							True
 _lowerCamelCase  : Optional[Any]           =							True




 def      lowercase	(					self       :    Any    ):
      super().setUp()

      _UpperCAmelCase     							=   BarthezTokenizerFast.from_pretrained("moussaKam/mbarthez"    )
      tokenizer.save_pretrained(self.tmpdirname    )
      tokenizer.save_pretrained(self.tmpdirname	,			legacy_format=snake_case_    )
      _UpperCAmelCase     							=   tokenizer




 def      lowercase	(					self       :    Dict    ):
      _UpperCAmelCase     							=   "<pad>"
      _UpperCAmelCase     							=   1

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




 def      lowercase	(					self       :    Optional[int]    ):
      _UpperCAmelCase     							=   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(snake_case_    )	,			1_0_1_1_2_2    )




 def      lowercase	(					self       :    Tuple    ):
      self.assertEqual(self.get_tokenizer().vocab_size	,			1_0_1_1_2_2    )




 @require_torch
 def      lowercase	(					self       :    Optional[Any]    ):
      _UpperCAmelCase     							=   ["A long paragraph for summarization.", "Another paragraph for summarization."]
      _UpperCAmelCase     							=   [0, 5_7, 3_0_1_8, 7_0_3_0_7, 9_1, 2]

      _UpperCAmelCase     							=   self.tokenizer(
          snake_case_	,			max_length=len(snake_case_    )	,			padding=snake_case_	,			truncation=snake_case_	,			return_tensors="pt"    )
      self.assertIsInstance(snake_case_	,			snake_case_    )

      self.assertEqual((2, 6)	,			batch.input_ids.shape    )
      self.assertEqual((2, 6)	,			batch.attention_mask.shape    )
      _UpperCAmelCase     							=   batch.input_ids.tolist()[0]
      self.assertListEqual(snake_case_	,			snake_case_    )




 def      lowercase	(					self       :    Any    ):
      if not self.test_rust_tokenizer:
           return

      _UpperCAmelCase     							=   self.get_tokenizer()
      _UpperCAmelCase     							=   self.get_rust_tokenizer()

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

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

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

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




 @slow
 def      lowercase	(					self       :    int    ):
      # fmt: off
      _UpperCAmelCase     							=   {"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.
      _UpperCAmelCase     							=   [
          "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=snake_case_	,			model_name="moussaKam/mbarthez"	,			revision="c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6"	,			sequences=snake_case_	,			)









'''simple docstring'''





import random




def lowerCAmelCase  (__A):



     """simple docstring"""



     _a      =  num - 1
     _a      =  0

     while s % 2 == 0:
          _a      =  s // 2
          t += 1

     for _ in range(5):
          _a      =  random.randrange(2  ,	num - 1)
          _a      =  pow(__A  ,	__A  ,	__A)
          if v != 1:
               _a      =  0
               while v != (num - 1):
                    if i == t - 1:
                         return False
                    else:
                         _a      =  i + 1
                         _a      =  (v**2) % num
     return True




def lowerCAmelCase  (__A):



     """simple docstring"""



     if num < 2:
          return False

     _a      =  [
         2,
         3,
         5,
         7,
         11,
         13,
         17,
         19,
         23,
         29,
         31,
         37,
         41,
         43,
         47,
         53,
         59,
         61,
         67,
         71,
         73,
         79,
         83,
         89,
         97,
         101,
         103,
         107,
         109,
         113,
         127,
         131,
         137,
         139,
         149,
         151,
         157,
         163,
         167,
         173,
         179,
         181,
         191,
         193,
         197,
         199,
         211,
         223,
         227,
         229,
         233,
         239,
         241,
         251,
         257,
         263,
         269,
         271,
         277,
         281,
         283,
         293,
         307,
         311,
         313,
         317,
         331,
         337,
         347,
         349,
         353,
         359,
         367,
         373,
         379,
         383,
         389,
         397,
         401,
         409,
         419,
         421,
         431,
         433,
         439,
         443,
         449,
         457,
         461,
         463,
         467,
         479,
         487,
         491,
         499,
         503,
         509,
         521,
         523,
         541,
         547,
         557,
         563,
         569,
         571,
         577,
         587,
         593,
         599,
         601,
         607,
         613,
         617,
         619,
         631,
         641,
         643,
         647,
         653,
         659,
         661,
         673,
         677,
         683,
         691,
         701,
         709,
         719,
         727,
         733,
         739,
         743,
         751,
         757,
         761,
         769,
         773,
         787,
         797,
         809,
         811,
         821,
         823,
         827,
         829,
         839,
         853,
         857,
         859,
         863,
         877,
         881,
         883,
         887,
         907,
         911,
         919,
         929,
         937,
         941,
         947,
         953,
         967,
         971,
         977,
         983,
         991,
         997,
     ]

     if num in low_primes:
          return True

     for prime in low_primes:
          if (num % prime) == 0:
               return False

     return rabin_miller(__A)




def lowerCAmelCase  (__A = 1_024):



     """simple docstring"""



     while True:
          _a      =  random.randrange(2 ** (keysize - 1)  ,	2 ** (keysize))
          if is_prime_low_num(__A):
               return num


if __name__ == "__main__":
  lowercase_		       =  generate_large_prime()
  print(("Prime number:", num))
  print(("is_prime_low_num:", is_prime_low_num(num)))



