


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  snake_case_     (lowerCamelCase_			,		unittest.TestCase   ):
     UpperCAmelCase__      :					int					   =    BarthezTokenizer
     UpperCAmelCase__      :					List[Any]					   =    BarthezTokenizerFast
     UpperCAmelCase__      :					str					   =    True
     UpperCAmelCase__      :					Any					   =    True
     def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					List[str]:
            super().setUp()

            a__    =  BarthezTokenizerFast.from_pretrained('moussaKam/mbarthez'   )
            tokenizer.save_pretrained(self.tmpdirname   )
            tokenizer.save_pretrained(self.tmpdirname    ,legacy_format=__snake_case   )
            a__    =  tokenizer
     def 				lowerCamelCase__(   self     :Tuple   )      ->					Any:
            a__    =  '<pad>'
            a__    =  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 				lowerCamelCase__(   self     :List[Any]   )      ->					Union[str, Any]:
            a__    =  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   )    ,10_11_22   )
     def 				lowerCamelCase__(   self     :Tuple   )      ->					List[str]:
            self.assertEqual(self.get_tokenizer().vocab_size    ,10_11_22   )
     @require_torch
     def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					Optional[Any]:
            a__    =  ['A long paragraph for summarization.', 'Another paragraph for summarization.']
            a__    =  [0, 57, 30_18, 7_03_07, 91, 2]

            a__    =  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   )
            a__    =  batch.input_ids.tolist()[0]
            self.assertListEqual(__snake_case    ,__snake_case   )
     def 				lowerCamelCase__(   self     :Any   )      ->					List[Any]:
            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(__snake_case   )
            a__    =  rust_tokenizer.tokenize(__snake_case   )
            self.assertListEqual(__snake_case    ,__snake_case   )

            a__    =  tokenizer.encode(__snake_case    ,add_special_tokens=__snake_case   )
            a__    =  rust_tokenizer.encode(__snake_case    ,add_special_tokens=__snake_case   )
            self.assertListEqual(__snake_case    ,__snake_case   )

            a__    =  self.get_rust_tokenizer()
            a__    =  tokenizer.encode(__snake_case   )
            a__    =  rust_tokenizer.encode(__snake_case   )
            self.assertListEqual(__snake_case    ,__snake_case   )



     @slow
     def 				lowerCamelCase__(   self     :Dict   )      ->					Any:
            # fmt: off
            a__    =  {'input_ids': [[0, 4_90, 1_43_28, 45_07, 3_54, 47, 4_36_69, 95, 25, 7_81_17, 2_02_15, 1_97_79, 1_90, 22, 4_00, 4, 3_53_43, 8_03_10, 6_03, 86, 2_49_37, 1_05, 3_34_38, 9_47_62, 1_96, 3_96_42, 7, 15, 1_59_33, 1_73, 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_05_34, 87, 25, 66, 33_58, 1_96, 5_52_89, 8, 8_29_61, 81, 22_04, 7_52_03, 7, 15, 7_63, 1_29_56, 2_16, 1_78, 1_43_28, 95_95, 13_77, 6_96_93, 7, 4_48, 7_10_21, 1_96, 1_81_06, 14_37, 1_39_74, 1_08, 90_83, 4, 4_93_15, 7, 39, 86, 13_26, 27_93, 4_63_33, 4, 4_48, 1_96, 7_45_88, 7, 4_93_15, 7, 39, 21, 8_22, 3_84_70, 74, 21, 6_67_23, 6_24_80, 8, 2_20_50, 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.
            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=__snake_case    ,model_name='moussaKam/mbarthez'    ,revision='c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'    ,sequences=__snake_case    ,)








from math import sqrt






def 							__lowercase     (				__lowerCAmelCase							:       int     ):

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5      ,					int(sqrt(__lowerCAmelCase     ) + 1     )      ,					6     ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True






def 							__lowercase     (				__lowerCAmelCase							:       int = 1_0_0_0_1     ):
							a__    =  0
							a__    =  1
							while count != nth and number < 3:
														number += 1
														if is_prime(__lowerCAmelCase     ):
																					count += 1
							while count != nth:
														number += 2
														if is_prime(__lowerCAmelCase     ):
																					count += 1
							return number


if __name__ == "__main__":
						print(f"""{solution() = }""")




