




"""simple docstring"""


import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class  lowercase(					__a	,      unittest.TestCase			):







 '''simple docstring'''





 lowercase__			 = PhobertTokenizer
 lowercase__			 = False


 def 			UpperCamelCase_       (    self:		Union[str, Any]		):




   '''simple docstring'''



   super().setUp()

   # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
   _snake_case							:		Tuple								=  ["""T@@""", """i""", """I""", """R@@""", """r""", """e@@"""]
   _snake_case							:		Union[str, Any]								=  dict(zip(a_,				range(len(a_		)		)		)		)
   _snake_case							:		int								=  ["""#version: 0.2""", """l à</w>"""]
   _snake_case							:		Optional[Any]								=  {"""unk_token""": """<unk>"""}

   _snake_case							:		int								=  os.path.join(self.tmpdirname,				VOCAB_FILES_NAMES["""vocab_file"""]		)
   _snake_case							:		Optional[Any]								=  os.path.join(self.tmpdirname,				VOCAB_FILES_NAMES["""merges_file"""]		)

   with open(self.vocab_file,				"""w""",				encoding="""utf-8"""		) as fp:
     for token in vocab_tokens:
       fp.write(f"{token} {vocab_tokens[token]}\n"		)
   with open(self.merges_file,				"""w""",				encoding="""utf-8"""		) as fp:
     fp.write("""\n""".join(a_		)		)


 def 			UpperCamelCase_       (    self:		Optional[int],				**a_:		int		):




   '''simple docstring'''



   kwargs.update(self.special_tokens_map		)
   return PhobertTokenizer.from_pretrained(self.tmpdirname,				**a_		)


 def 			UpperCamelCase_       (    self:		str,				a_:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  """Tôi là VinAI Research"""
   _snake_case							:		List[str]								=  """T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
   return input_text, output_text


 def 			UpperCamelCase_       (    self:		Any		):




   '''simple docstring'''



   _snake_case							:		str								=  PhobertTokenizer(self.vocab_file,				self.merges_file,				**self.special_tokens_map		)
   _snake_case							:		Union[str, Any]								=  """Tôi là VinAI Research"""
   _snake_case							:		Tuple								=  """T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
   _snake_case							:		Dict								=  tokenizer.tokenize(a_		)
   print(a_		)
   self.assertListEqual(a_,				a_		)

   _snake_case							:		int								=  tokens + [tokenizer.unk_token]

   _snake_case							:		Dict								=  [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(a_		),				a_		)








"""simple docstring"""


def  UpperCAmelCase__	(snake_case__							: Optional[Any]   ):
  """simple docstring"""

  _snake_case							:		Union[str, Any]								=  []
  _snake_case							:		Dict								=  set({"""(""", """[""", """{"""}   )
  _snake_case							:		Union[str, Any]								=  set({""")""", """]""", """}"""}   )
  _snake_case							:		Tuple								=  {"""{""": """}""", """[""": """]""", """(""": """)"""}

  for i in range(len(snake_case__   )   ):
    if s[i] in open_brackets:
      stack.append(s[i]   )

    elif s[i] in closed_brackets and (
        len(snake_case__   ) == 0 or (len(snake_case__   ) > 0 and open_to_closed[stack.pop()] != s[i])
    ):
      return False

  return len(snake_case__   ) == 0


def  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Any								=  input("""Enter sequence of brackets: """   )
  if is_balanced(snake_case__   ):
    print(snake_case__		,       """is balanced"""   )
  else:
    print(snake_case__		,       """is not balanced"""   )


if __name__ == "__main__":
     main()


