





"""simple docstring"""






import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


A 			=  get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')




class 				__lowercase			(			_UpperCamelCase   ,      unittest.TestCase							):







     '''simple docstring'''




     __lowerCAmelCase  =  BartphoTokenizer
     __lowerCAmelCase  =  False
     __lowerCAmelCase  =  True







     def  _lowerCamelCase		(						self     ):
         super().setUp()

         __a :						Tuple			       =  ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
         __a :						Optional[Any]			       =  dict(zip(_UpperCAmelCase	,			range(len(_UpperCAmelCase     )     )     )     )
         __a :						Any			       =  {'''unk_token''': '''<unk>'''}

         __a :						Dict			       =  os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''monolingual_vocab_file''']     )
         with open(self.monolingual_vocab_file	,			'''w'''	,			encoding='''utf-8'''     ) as fp:
             for token in vocab_tokens:
                 fp.write(f"""{token} {vocab_tokens[token]}\n"""     )

         __a :						Optional[int]			       =  BartphoTokenizer(_UpperCAmelCase	,			self.monolingual_vocab_file	,			**self.special_tokens_map     )
         tokenizer.save_pretrained(self.tmpdirname     )







     def  _lowerCamelCase		(						self	,			**_UpperCAmelCase     ):
         kwargs.update(self.special_tokens_map     )
         return BartphoTokenizer.from_pretrained(self.tmpdirname	,			**_UpperCAmelCase     )







     def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
         __a :						Any			       =  '''This is a là test'''
         __a :						Tuple			       =  '''This is a<unk><unk> test'''
         return input_text, output_text







     def  _lowerCamelCase		(						self     ):
         __a :						Dict			       =  BartphoTokenizer(_UpperCAmelCase	,			self.monolingual_vocab_file	,			**self.special_tokens_map     )
         __a :						List[str]			       =  '''This is a là test'''
         __a :						Optional[int]			       =  '''▁This ▁is ▁a ▁l à ▁t est'''.split()
         __a :						List[Any]			       =  tokenizer.tokenize(_UpperCAmelCase     )
         self.assertListEqual(_UpperCAmelCase	,			_UpperCAmelCase     )

         __a :						Tuple			       =  tokens + [tokenizer.unk_token]
         __a :						Dict			       =  [4, 5, 6, 3, 3, 7, 8, 3]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase     )	,			_UpperCAmelCase     )






"""simple docstring"""






from math import isqrt, loga

def     __A      (			a_						:int)		->		list[int]:
				__a :						int			       =  [True] * max_number
				for i in range(2   ,       isqrt(max_number - 1) + 1):
								if is_prime[i]:
												for j in range(i**2   ,       a_   ,       a_):
																__a :						int			       =  False

				return [i for i in range(2   ,       a_) if is_prime[i]]

def     __A      (			a_						:int = 80_08_00   ,       a_						:int = 80_08_00)		->		int:
				__a :						str			       =  degree * loga(a_)
				__a :						Tuple			       =  int(a_)
				__a :						int			       =  calculate_prime_numbers(a_)

				__a :						List[Any]			       =  0
				__a :						Optional[Any]			       =  0
				__a :						Dict			       =  len(a_) - 1
				while left < right:
								while (
								    prime_numbers[right] * loga(prime_numbers[left])
								    + prime_numbers[left] * loga(prime_numbers[right])
								    > upper_bound
								):
												right -= 1
								hybrid_integers_count += right - left
								left += 1

				return hybrid_integers_count


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