






import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class      UpperCAmelCase_		(   _UpperCamelCase,      unittest.TestCase					):



      """simple docstring"""
      UpperCamelCase_							:   Union[str, Any] 	=CTRLTokenizer
      UpperCamelCase_							:   Union[str, Any] 	=False
      UpperCamelCase_							:   Tuple 	=False
      def        UpperCAmelCase		(							self					)							-> int:
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          UpperCamelCase			:Optional[int]      				=  ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
          UpperCamelCase			:Tuple      				=  dict(zip(SCREAMING_SNAKE_CASE_       ,							range(len(SCREAMING_SNAKE_CASE_					)					)					)					)
          UpperCamelCase			:List[Any]      				=  ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
          UpperCamelCase			:int      				=  {"unk_token": "<unk>"}

          UpperCamelCase			:Union[str, Any]      				=  os.path.join(self.tmpdirname       ,							VOCAB_FILES_NAMES['''vocab_file''']					)
          UpperCamelCase			:str      				=  os.path.join(self.tmpdirname       ,							VOCAB_FILES_NAMES['''merges_file''']					)
          with open(self.vocab_file       ,							'''w'''       ,							encoding='''utf-8'''					) as fp:
              fp.write(json.dumps(SCREAMING_SNAKE_CASE_					) + '''\n'''					)
          with open(self.merges_file       ,							'''w'''       ,							encoding='''utf-8'''					) as fp:
              fp.write('''\n'''.join(SCREAMING_SNAKE_CASE_					)					)
      def        UpperCAmelCase		(							self       ,							**SCREAMING_SNAKE_CASE_					)							-> List[Any]:
          kwargs.update(self.special_tokens_map					)
          return CTRLTokenizer.from_pretrained(self.tmpdirname       ,							**SCREAMING_SNAKE_CASE_					)
      def        UpperCAmelCase		(							self       ,							SCREAMING_SNAKE_CASE_					)							-> List[Any]:
          UpperCamelCase			:Any      				=  "adapt react readapt apt"
          UpperCamelCase			:int      				=  "adapt react readapt apt"
          return input_text, output_text




      def        UpperCAmelCase		(							self					)							-> Any:
          UpperCamelCase			:str      				=  CTRLTokenizer(self.vocab_file       ,							self.merges_file       ,							**self.special_tokens_map					)
          UpperCamelCase			:Any      				=  "adapt react readapt apt"
          UpperCamelCase			:Union[str, Any]      				=  "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
          UpperCamelCase			:int      				=  tokenizer.tokenize(SCREAMING_SNAKE_CASE_					)
          self.assertListEqual(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_					)

          UpperCamelCase			:Optional[Any]      				=  tokens + [tokenizer.unk_token]

          UpperCamelCase			:Tuple      				=  [0, 1, 2, 4, 5, 1, 0, 3, 6]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_					)       ,							SCREAMING_SNAKE_CASE_					)












def    _A	(   lowerCamelCase ):
   a__						:    Tuple   		=	[]
   a__						:    str   		=	set({"(", "[", "{"} )
   a__						:    List[str]   		=	set({")", "]", "}"} )
   a__						:    int   		=	{"{": "}", "[": "]", "(": ")"}

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

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

   return len(lowerCamelCase ) == 0






def    _A	(   ):
   a__						:    Optional[int]   		=	input("Enter sequence of brackets: " )
   if is_balanced(lowerCamelCase ):
      print(lowerCamelCase				,			"is balanced" )
   else:
      print(lowerCamelCase				,			"is not balanced" )


if __name__ == "__main__":
  main()

