'''simple docstring'''
import json
import os
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a=	logging.get_logger(__name__)

a=	{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

a=	{
    '''vocab_file''': {
        '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json''',
    },
    '''merges_file''': {'''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'''},
}

a=	{
    '''microsoft/biogpt''': 1_0_2_4,
}







def 			_UpperCamelCase			(  _a						:						Dict      ):




    """simple docstring"""



    __UpperCamelCase						:						Tuple		     =	set()
    __UpperCamelCase						:						Optional[int]		     =	word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)      )
        __UpperCamelCase						:						Any		     =	char
    return pairs






class       __lowercase		(    _lowerCamelCase    ):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		 =    VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE__		 =    PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE__		 =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE__		 =    ['''input_ids''', '''attention_mask''']







     def __init__(		self  ,      _lowerCamelCase  ,      _lowerCamelCase  ,      _lowerCamelCase="<unk>"  ,      _lowerCamelCase="<s>"  ,      _lowerCamelCase="</s>"  ,      _lowerCamelCase="</s>"  ,      _lowerCamelCase="<pad>"  ,      **_lowerCamelCase  ,      ):
         super().__init__(
             bos_token=_lowerCamelCase  ,      eos_token=_lowerCamelCase  ,      sep_token=_lowerCamelCase  ,      unk_token=_lowerCamelCase  ,      pad_token=_lowerCamelCase  ,      **_lowerCamelCase  ,      )

         try:
             import sacremoses
         except ImportError:
             raise ImportError(
                 'You need to install sacremoses to use BioGptTokenizer. '
                 'See https://pypi.org/project/sacremoses/ for installation.'     )

         __UpperCamelCase						:						Optional[Any]		     =	'en'
         __UpperCamelCase						:						List[str]		     =	sacremoses
         # cache of sm.MosesTokenizer instance
         __UpperCamelCase						:						Tuple		     =	{}
         __UpperCamelCase						:						Tuple		     =	{}
         with open(_lowerCamelCase  ,      encoding='utf-8'     ) as vocab_handle:
             __UpperCamelCase						:						List[Any]		     =	json.load(_lowerCamelCase     )
         __UpperCamelCase						:						Optional[Any]		     =	{v: k for k, v in self.encoder.items()}
         with open(_lowerCamelCase  ,      encoding='utf-8'     ) as merges_handle:
             __UpperCamelCase						:						Tuple		     =	merges_handle.read().split('\n'     )[:-1]
         __UpperCamelCase						:						str		     =	[tuple(merge.split()[:2]     ) for merge in merges]
         __UpperCamelCase						:						Optional[Any]		     =	dict(zip(_lowerCamelCase  ,      range(len(_lowerCamelCase     )     )     )     )
         __UpperCamelCase						:						Any		     =	{}







     @property
     def lowerCAmelCase  (		self     ):
         return len(self.encoder     )







     def lowerCAmelCase  (		self     ):
         return dict(self.encoder  ,      **self.added_tokens_encoder     )







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase     ):
         if lang not in self.cache_moses_tokenizer:
             __UpperCamelCase						:						Optional[Any]		     =	self.sm.MosesTokenizer(lang=_lowerCamelCase     )
             __UpperCamelCase						:						Any		     =	moses_tokenizer
         return self.cache_moses_tokenizer[lang].tokenize(
             _lowerCamelCase  ,      aggressive_dash_splits=_lowerCamelCase  ,      return_str=_lowerCamelCase  ,      escape=_lowerCamelCase     )







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase     ):
         if lang not in self.cache_moses_detokenizer:
             __UpperCamelCase						:						int		     =	self.sm.MosesDetokenizer(lang=_lowerCamelCase     )
             __UpperCamelCase						:						str		     =	moses_detokenizer
         return self.cache_moses_detokenizer[lang].detokenize(_lowerCamelCase     )







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Any		     =	tuple(token[:-1]     ) + (token[-1] + '</w>',)
         if token in self.cache:
             return self.cache[token]
         __UpperCamelCase						:						int		     =	get_pairs(_lowerCamelCase     )

         if not pairs:
             return token + "</w>"

         while True:
             __UpperCamelCase						:						Optional[int]		     =	min(_lowerCamelCase  ,      key=lambda _lowerCamelCase     : self.bpe_ranks.get(_lowerCamelCase  ,      float('inf'     )     )     )
             if bigram not in self.bpe_ranks:
                 break
             __UpperCamelCase     ,       __UpperCamelCase						:						Optional[Any]		     =	bigram
             __UpperCamelCase						:						List[str]		     =	[]
             __UpperCamelCase						:						Tuple		     =	0
             while i < len(_lowerCamelCase     ):
                 try:
                     __UpperCamelCase						:						Tuple		     =	word.index(_lowerCamelCase  ,      _lowerCamelCase     )
                 except ValueError:
                     new_word.extend(word[i:]     )
                     break
                 else:
                     new_word.extend(word[i:j]     )
                     __UpperCamelCase						:						Dict		     =	j

                 if word[i] == first and i < len(_lowerCamelCase     ) - 1 and word[i + 1] == second:
                     new_word.append(first + second     )
                     i += 2
                 else:
                     new_word.append(word[i]     )
                     i += 1
             __UpperCamelCase						:						Optional[Any]		     =	tuple(_lowerCamelCase     )
             __UpperCamelCase						:						Optional[int]		     =	new_word
             if len(_lowerCamelCase     ) == 1:
                 break
             else:
                 __UpperCamelCase						:						Optional[Any]		     =	get_pairs(_lowerCamelCase     )
         __UpperCamelCase						:						Optional[int]		     =	' '.join(_lowerCamelCase     )
         if word == "\n  </w>":
             __UpperCamelCase						:						Any		     =	'\n</w>'
         __UpperCamelCase						:						Optional[int]		     =	word
         return word







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase=False     ):
         if bypass_tokenizer:
             __UpperCamelCase						:						Any		     =	text.split()
         else:
             __UpperCamelCase						:						Union[str, Any]		     =	self.moses_tokenize(_lowerCamelCase  ,      self.lang     )

         __UpperCamelCase						:						List[str]		     =	[]
         for token in text:
             if token:
                 split_tokens.extend(list(self.bpe(_lowerCamelCase     ).split(' '     )     )     )

         return split_tokens







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         return self.encoder.get(_lowerCamelCase  ,      self.encoder.get(self.unk_token     )     )







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         return self.decoder.get(_lowerCamelCase  ,      self.unk_token     )







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Dict		     =	[t.replace(' '  ,      ''     ).replace('</w>'  ,      ' '     ) for t in tokens]
         __UpperCamelCase						:						List[Any]		     =	''.join(_lowerCamelCase     ).split()
         # detokenize
         __UpperCamelCase						:						Optional[Any]		     =	self.moses_detokenize(_lowerCamelCase  ,      self.lang     )
         return text







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None     ):
         if token_ids_a is None:
             return [self.sep_token_id] + token_ids_a
         __UpperCamelCase						:						Union[str, Any]		     =	[self.sep_token_id]
         return sep + token_ids_a + sep + token_ids_a







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None  ,      _lowerCamelCase = False     ):
         if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_lowerCamelCase  ,      token_ids_a=_lowerCamelCase  ,      already_has_special_tokens=_lowerCamelCase     )
         # no bos used in fairseq
         if token_ids_a is not None:
             return [1] + ([0] * len(_lowerCamelCase     )) + [1] + ([0] * len(_lowerCamelCase     ))
         return [1] + ([0] * len(_lowerCamelCase     ))







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None     ):
         __UpperCamelCase						:						Optional[Any]		     =	[self.sep_token_id]

         # no bos used in fairseq
         if token_ids_a is None:
             return len(token_ids_a + sep     ) * [0]
         return len(token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None     ):
         if not os.path.isdir(_lowerCamelCase     ):
             logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
             return
         __UpperCamelCase						:						Dict		     =	os.path.join(
             _lowerCamelCase  ,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
         __UpperCamelCase						:						Optional[int]		     =	os.path.join(
             _lowerCamelCase  ,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']     )

         with open(_lowerCamelCase  ,      'w'  ,      encoding='utf-8'     ) as f:
             f.write(json.dumps(self.encoder  ,      indent=2  ,      sort_keys=_lowerCamelCase  ,      ensure_ascii=_lowerCamelCase     ) + '\n'     )

         __UpperCamelCase						:						Optional[int]		     =	0
         with open(_lowerCamelCase  ,      'w'  ,      encoding='utf-8'     ) as writer:
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,      key=lambda _lowerCamelCase     : kv[1]     ):
                 if index != token_index:
                     logger.warning(
                         f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                         ' Please check that the tokenizer is not corrupted!'     )
                     __UpperCamelCase						:						Any		     =	token_index
                 writer.write(' '.join(_lowerCamelCase     ) + '\n'     )
                 index += 1

         return vocab_file, merge_file







     def __getstate__(		self     ):
         __UpperCamelCase						:						Tuple		     =	self.__dict__.copy()
         __UpperCamelCase						:						Union[str, Any]		     =	None
         return state







     def __setstate__(		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						str		     =	d

         try:
             import sacremoses
         except ImportError:
             raise ImportError(
                 'You need to install sacremoses to use XLMTokenizer. '
                 'See https://pypi.org/project/sacremoses/ for installation.'     )

         __UpperCamelCase						:						List[Any]		     =	sacremoses




'''simple docstring'''
from .stack import Stack







def 			_UpperCamelCase			(  _a						:						str      ):




    """simple docstring"""



    __UpperCamelCase						:						Stack[str]		     =	Stack()
    __UpperCamelCase						:						Any		     =	{'(': ')', '[': ']', '{': '}'}
    for bracket in parentheses:
        if bracket in bracket_pairs:
            stack.push(_a      )
        elif bracket in (")", "]", "}"):
            if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
                return False
    return stack.is_empty()


if __name__ == "__main__":
  from doctest import testmod

  testmod()

  a=	['''((()))''', '''((())''', '''(()))''']
  print('''Balanced parentheses demonstration:\n''')
  for example in examples:
    a=	'''''' if balanced_parentheses(example) else '''not '''
    print(F"""{example} is {not_str}balanced""")



