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


SCREAMING_SNAKE_CASE :	Tuple							     =		get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")
class    A_ (       a_			,       unittest.TestCase ):
  _SCREAMING_SNAKE_CASE    				=			BartphoTokenizer
  _SCREAMING_SNAKE_CASE    				=			False
  _SCREAMING_SNAKE_CASE    				=			True

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

   __a       =  ["▁This", "▁is", "▁a", "▁t", "est"]
   __a       =  dict(zip(__SCREAMING_SNAKE_CASE     ,							range(len(__SCREAMING_SNAKE_CASE       )       )       )       )
   __a       =  {"unk_token": "<unk>"}

   __a       =  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       =  BartphoTokenizer(__SCREAMING_SNAKE_CASE     ,							self.monolingual_vocab_file     ,							**self.special_tokens_map       )
   tokenizer.save_pretrained(self.tmpdirname       )

  def 		_UpperCAmelCase   (		self :      Optional[Any]     ,							**__SCREAMING_SNAKE_CASE :      List[str]       ):
   kwargs.update(self.special_tokens_map       )
   return BartphoTokenizer.from_pretrained(self.tmpdirname     ,							**__SCREAMING_SNAKE_CASE       )

  def 		_UpperCAmelCase   (		self :      List[str]     ,							__SCREAMING_SNAKE_CASE :      int       ):
   __a       =  "This is a là test"
   __a       =  "This is a<unk><unk> test"
   return input_text, output_text

  def 		_UpperCAmelCase   (		self :      List[str]       ):
   __a       =  BartphoTokenizer(__SCREAMING_SNAKE_CASE     ,							self.monolingual_vocab_file     ,							**self.special_tokens_map       )
   __a       =  "This is a là test"
   __a       =  "▁This ▁is ▁a ▁l à ▁t est".split()
   __a       =  tokenizer.tokenize(__SCREAMING_SNAKE_CASE       )
   self.assertListEqual(__SCREAMING_SNAKE_CASE     ,							__SCREAMING_SNAKE_CASE       )

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



def   __A		(			_A = 100_0000					):



 """simple docstring"""


 __a       =  [i - 1 for i in range(limit + 1					)]

 for i in range(2							,				limit + 1					):
  if phi[i] == i - 1:
   for j in range(2 * i							,				limit + 1							,				_A					):
    phi[j] -= phi[j] // i

 return sum(phi[2 : limit + 1]					)


if __name__ == "__main__":
  print(solution())


