


'''simple docstring'''

import json
import os
from typing import List, Optional, Tuple

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


lowercase__					  =		logging.get_logger(__name__)

lowercase__					  =		{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

lowercase__					  =		{
    "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"},
}

lowercase__					  =		{
    "microsoft/biogpt": 1_024,
}






def __UpperCamelCase (      __lowerCamelCase		:			Dict					)   ->  Dict:







     '''simple docstring'''






     _a            =		set()
     _a            =		word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)					)
          _a            =		char
     return pairs






class     __SCREAMING_SNAKE_CASE       (   _lowerCamelCase			):
     UpperCAmelCase			       =					VOCAB_FILES_NAMES
     UpperCAmelCase			       =					PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase			       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase			       =					['''input_ids''', '''attention_mask''']






     def __init__(      self  ,				__UpperCamelCase  ,				__UpperCamelCase  ,				__UpperCamelCase="<unk>"  ,				__UpperCamelCase="<s>"  ,				__UpperCamelCase="</s>"  ,				__UpperCamelCase="</s>"  ,				__UpperCamelCase="<pad>"  ,				**__UpperCamelCase  ,				)							->     Optional[int]:
          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."		)

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






     @property
     def 			a_       (      self		)							->     int:
          return len(self.encoder		)






     def 			a_       (      self		)							->     List[Any]:
          return dict(self.encoder  ,				**self.added_tokens_encoder		)






     def 			a_       (      self  ,				__UpperCamelCase  ,				__UpperCamelCase		)							->     Tuple:
          if lang not in self.cache_moses_tokenizer:
               _a            =		self.sm.MosesTokenizer(lang=_lowerCamelCase		)
               _a            =		moses_tokenizer
          return self.cache_moses_tokenizer[lang].tokenize(
              _lowerCamelCase  ,				aggressive_dash_splits=_lowerCamelCase  ,				return_str=_lowerCamelCase  ,				escape=_lowerCamelCase		)






     def 			a_       (      self  ,				__UpperCamelCase  ,				__UpperCamelCase		)							->     Tuple:
          if lang not in self.cache_moses_detokenizer:
               _a            =		self.sm.MosesDetokenizer(lang=_lowerCamelCase		)
               _a            =		moses_detokenizer
          return self.cache_moses_detokenizer[lang].detokenize(_lowerCamelCase		)






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

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

          while True:
               _a            =		min(_lowerCamelCase  ,				key=lambda __UpperCamelCase		: self.bpe_ranks.get(_lowerCamelCase  ,				float("inf"		)		)		)
               if bigram not in self.bpe_ranks:
                    break
               _a            =		bigram
               _a            =		[]
               _a            =		0
               while i < len(_lowerCamelCase		):
                    try:
                         _a            =		word.index(_lowerCamelCase  ,				_lowerCamelCase		)
                    except ValueError:
                         new_word.extend(word[i:]		)
                         break
                    else:
                         new_word.extend(word[i:j]		)
                         _a            =		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
               _a            =		tuple(_lowerCamelCase		)
               _a            =		new_word
               if len(_lowerCamelCase		) == 1:
                    break
               else:
                    _a            =		get_pairs(_lowerCamelCase		)
          _a            =		' '.join(_lowerCamelCase		)
          if word == "\n  </w>":
               _a            =		'\n</w>'
          _a            =		word
          return word






     def 			a_       (      self  ,				__UpperCamelCase  ,				__UpperCamelCase=False		)							->     List[Any]:
          if bypass_tokenizer:
               _a            =		text.split()
          else:
               _a            =		self.moses_tokenize(_lowerCamelCase  ,				self.lang		)

          _a            =		[]
          for token in text:
               if token:
                    split_tokens.extend(list(self.bpe(_lowerCamelCase		).split(" "		)		)		)

          return split_tokens






     def 			a_       (      self  ,				__UpperCamelCase		)							->     Optional[Any]:
          return self.encoder.get(_lowerCamelCase  ,				self.encoder.get(self.unk_token		)		)






     def 			a_       (      self  ,				__UpperCamelCase		)							->     Tuple:
          return self.decoder.get(_lowerCamelCase  ,				self.unk_token		)






     def 			a_       (      self  ,				__UpperCamelCase		)							->     Dict:
          _a            =		[t.replace(" "  ,				""		).replace("</w>"  ,				" "		) for t in tokens]
          _a            =		''.join(_lowerCamelCase		).split()
          # detokenize
          _a            =		self.moses_detokenize(_lowerCamelCase  ,				self.lang		)
          return text






     def 			a_       (      self  ,				__UpperCamelCase  ,				__UpperCamelCase = None		)							->     Any:
          if token_ids_a is None:
               return [self.sep_token_id] + token_ids_a
          _a            =		[self.sep_token_id]
          return sep + token_ids_a + sep + token_ids_a






     def 			a_       (      self  ,				__UpperCamelCase  ,				__UpperCamelCase = None  ,				__UpperCamelCase = False		)							->     str:
          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 			a_       (      self  ,				__UpperCamelCase  ,				__UpperCamelCase = None		)							->     str:
          _a            =		[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 			a_       (      self  ,				__UpperCamelCase  ,				__UpperCamelCase = None		)							->     Any:
          if not os.path.isdir(_lowerCamelCase		):
               logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
               return
          _a            =		os.path.join(
              _lowerCamelCase  ,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
          _a            =		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"		)

          _a            =		0
          with open(_lowerCamelCase  ,				"w"  ,				encoding="utf-8"		) as writer:
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,				key=lambda __UpperCamelCase		: 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!"		)
                         _a            =		token_index
                    writer.write(" ".join(_lowerCamelCase		) + "\n"		)
                    index += 1

          return vocab_file, merge_file






     def __getstate__(      self		)							->     Optional[int]:
          _a            =		self.__dict__.copy()
          _a            =		None
          return state






     def __setstate__(      self  ,				__UpperCamelCase		)							->     Optional[Any]:
          _a            =		d

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

          _a            =		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""")



