






"""simple docstring"""



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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a  :						int					       =							logging.get_logger(__name__)

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

a  :						str					       =							{
    """vocab_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
        ),
    },
}

a  :						int					       =							{
    """roberta-base""": 512,
    """roberta-large""": 512,
    """roberta-large-mnli""": 512,
    """distilroberta-base""": 512,
    """roberta-base-openai-detector""": 512,
    """roberta-large-openai-detector""": 512,
}




@lru_cache()
def       snake_case__		(   )    ->Tuple:
 UpperCAmelCase__ 						=				(
     list(range(ord("""!"""			)       ,	ord("""~"""			) + 1			)			) + list(range(ord("""¡"""			)       ,	ord("""¬"""			) + 1			)			) + list(range(ord("""®"""			)       ,	ord("""ÿ"""			) + 1			)			)
 )
 UpperCAmelCase__ 						=				bs[:]
 UpperCAmelCase__ 						=				0
 for b in range(2**8			):
  if b not in bs:
   bs.append(lowerCAmelCase__			)
   cs.append(2**8 + n			)
   n += 1
 UpperCAmelCase__ 						=				[chr(lowerCAmelCase__			) for n in cs]
 return dict(zip(lowerCAmelCase__       ,	lowerCAmelCase__			)			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE			)    ->Union[str, Any]:
 UpperCAmelCase__ 						=				set()
 UpperCAmelCase__ 						=				word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)			)
  UpperCAmelCase__ 						=				char
 return pairs


class 	_UpperCamelCase ( lowercase_							):



    '''simple docstring'''


    __lowercase    :   Optional[Any]											=						VOCAB_FILES_NAMES
    __lowercase    :   List[str]											=						PRETRAINED_VOCAB_FILES_MAP
    __lowercase    :   str											=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowercase    :   Optional[Any]											=						['input_ids', 'attention_mask']


    def __init__(      self   ,			__lowercase   ,			__lowercase   ,			__lowercase="replace"   ,			__lowercase="<s>"   ,			__lowercase="</s>"   ,			__lowercase="</s>"   ,			__lowercase="<s>"   ,			__lowercase="<unk>"   ,			__lowercase="<pad>"   ,			__lowercase="<mask>"   ,			__lowercase=False   ,			**__lowercase   ,			):
     UpperCAmelCase__ 						=				AddedToken(SCREAMING_SNAKE_CASE_   ,			lstrip=SCREAMING_SNAKE_CASE_   ,			rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			) else bos_token
     UpperCAmelCase__ 						=				AddedToken(SCREAMING_SNAKE_CASE_   ,			lstrip=SCREAMING_SNAKE_CASE_   ,			rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			) else eos_token
     UpperCAmelCase__ 						=				AddedToken(SCREAMING_SNAKE_CASE_   ,			lstrip=SCREAMING_SNAKE_CASE_   ,			rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			) else sep_token
     UpperCAmelCase__ 						=				AddedToken(SCREAMING_SNAKE_CASE_   ,			lstrip=SCREAMING_SNAKE_CASE_   ,			rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			) else cls_token
     UpperCAmelCase__ 						=				AddedToken(SCREAMING_SNAKE_CASE_   ,			lstrip=SCREAMING_SNAKE_CASE_   ,			rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			) else unk_token
     UpperCAmelCase__ 						=				AddedToken(SCREAMING_SNAKE_CASE_   ,			lstrip=SCREAMING_SNAKE_CASE_   ,			rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			) else pad_token

     # Mask token behave like a normal word, i.e. include the space before it
     UpperCAmelCase__ 						=				AddedToken(SCREAMING_SNAKE_CASE_   ,			lstrip=SCREAMING_SNAKE_CASE_   ,			rstrip=SCREAMING_SNAKE_CASE_			) if isinstance(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			) else mask_token

     super().__init__(
         errors=SCREAMING_SNAKE_CASE_   ,			bos_token=SCREAMING_SNAKE_CASE_   ,			eos_token=SCREAMING_SNAKE_CASE_   ,			unk_token=SCREAMING_SNAKE_CASE_   ,			sep_token=SCREAMING_SNAKE_CASE_   ,			cls_token=SCREAMING_SNAKE_CASE_   ,			pad_token=SCREAMING_SNAKE_CASE_   ,			mask_token=SCREAMING_SNAKE_CASE_   ,			add_prefix_space=SCREAMING_SNAKE_CASE_   ,			**SCREAMING_SNAKE_CASE_   ,			)

     with open(SCREAMING_SNAKE_CASE_   ,			encoding="""utf-8"""			) as vocab_handle:
      UpperCAmelCase__ 						=				json.load(SCREAMING_SNAKE_CASE_			)
     UpperCAmelCase__ 						=				{v: k for k, v in self.encoder.items()}
     UpperCAmelCase__ 						=				errors  # how to handle errors in decoding
     UpperCAmelCase__ 						=				bytes_to_unicode()
     UpperCAmelCase__ 						=				{v: k for k, v in self.byte_encoder.items()}
     with open(SCREAMING_SNAKE_CASE_   ,			encoding="""utf-8"""			) as merges_handle:
      UpperCAmelCase__ 						=				merges_handle.read().split("""\n"""			)[1:-1]
     UpperCAmelCase__ 						=				[tuple(merge.split()			) for merge in bpe_merges]
     UpperCAmelCase__ 						=				dict(zip(SCREAMING_SNAKE_CASE_   ,			range(len(SCREAMING_SNAKE_CASE_			)			)			)			)
     UpperCAmelCase__ 						=				{}
     UpperCAmelCase__ 						=				add_prefix_space

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     UpperCAmelCase__ 						=				re.compile(r"""\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""			)


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


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


    def 		A__      (      self   ,			__lowercase			):
     if token in self.cache:
      return self.cache[token]
     UpperCAmelCase__ 						=				tuple(SCREAMING_SNAKE_CASE_			)
     UpperCAmelCase__ 						=				get_pairs(SCREAMING_SNAKE_CASE_			)

     if not pairs:
      return token

     while True:
      UpperCAmelCase__ 						=				min(SCREAMING_SNAKE_CASE_   ,			key=lambda __lowercase			: self.bpe_ranks.get(SCREAMING_SNAKE_CASE_   ,			float("""inf"""			)			)			)
      if bigram not in self.bpe_ranks:
       break
      UpperCAmelCase__ 						=				bigram
      UpperCAmelCase__ 						=				[]
      UpperCAmelCase__ 						=				0
      while i < len(SCREAMING_SNAKE_CASE_			):
       try:
        UpperCAmelCase__ 						=				word.index(SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_			)
       except ValueError:
        new_word.extend(word[i:]			)
        break
       else:
        new_word.extend(word[i:j]			)
        UpperCAmelCase__ 						=				j

       if word[i] == first and i < len(SCREAMING_SNAKE_CASE_			) - 1 and word[i + 1] == second:
        new_word.append(first + second			)
        i += 2
       else:
        new_word.append(word[i]			)
        i += 1
      UpperCAmelCase__ 						=				tuple(SCREAMING_SNAKE_CASE_			)
      UpperCAmelCase__ 						=				new_word
      if len(SCREAMING_SNAKE_CASE_			) == 1:
       break
      else:
       UpperCAmelCase__ 						=				get_pairs(SCREAMING_SNAKE_CASE_			)
     UpperCAmelCase__ 						=				' '.join(SCREAMING_SNAKE_CASE_			)
     UpperCAmelCase__ 						=				word
     return word


    def 		A__      (      self   ,			__lowercase			):
     UpperCAmelCase__ 						=				[]
     for token in re.findall(self.pat   ,			SCREAMING_SNAKE_CASE_			):
      UpperCAmelCase__ 						=				''.join(
          self.byte_encoder[b] for b in token.encode("""utf-8"""			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
      bpe_tokens.extend(bpe_token for bpe_token in self.bpe(SCREAMING_SNAKE_CASE_			).split(""" """			)			)
     return bpe_tokens


    def 		A__      (      self   ,			__lowercase			):
     return self.encoder.get(SCREAMING_SNAKE_CASE_   ,			self.encoder.get(self.unk_token			)			)


    def 		A__      (      self   ,			__lowercase			):
     return self.decoder.get(SCREAMING_SNAKE_CASE_			)


    def 		A__      (      self   ,			__lowercase			):
     UpperCAmelCase__ 						=				''.join(SCREAMING_SNAKE_CASE_			)
     UpperCAmelCase__ 						=				bytearray([self.byte_decoder[c] for c in text]			).decode("""utf-8"""   ,			errors=self.errors			)
     return text


    def 		A__      (      self   ,			__lowercase   ,			__lowercase = None			):
     if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
      logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
      return
     UpperCAmelCase__ 						=				os.path.join(
         SCREAMING_SNAKE_CASE_   ,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)
     UpperCAmelCase__ 						=				os.path.join(
         SCREAMING_SNAKE_CASE_   ,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]			)

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

     UpperCAmelCase__ 						=				0
     with open(SCREAMING_SNAKE_CASE_   ,			"""w"""   ,			encoding="""utf-8"""			) as writer:
      writer.write("""#version: 0.2\n"""			)
      for bpe_tokens, token_index in sorted(self.bpe_ranks.items()   ,			key=lambda __lowercase			: 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__ 						=				token_index
       writer.write(""" """.join(SCREAMING_SNAKE_CASE_			) + """\n"""			)
       index += 1

     return vocab_file, merge_file


    def 		A__      (      self   ,			__lowercase   ,			__lowercase = None			):
     if token_ids_a is None:
      return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     UpperCAmelCase__ 						=				[self.cls_token_id]
     UpperCAmelCase__ 						=				[self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep


    def 		A__      (      self   ,			__lowercase   ,			__lowercase = None   ,			__lowercase = False			):
     if already_has_special_tokens:
      return super().get_special_tokens_mask(
          token_ids_a=SCREAMING_SNAKE_CASE_   ,			token_ids_a=SCREAMING_SNAKE_CASE_   ,			already_has_special_tokens=SCREAMING_SNAKE_CASE_			)

     if token_ids_a is None:
      return [1] + ([0] * len(SCREAMING_SNAKE_CASE_			)) + [1]
     return [1] + ([0] * len(SCREAMING_SNAKE_CASE_			)) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE_			)) + [1]


    def 		A__      (      self   ,			__lowercase   ,			__lowercase = None			):
     UpperCAmelCase__ 						=				[self.sep_token_id]
     UpperCAmelCase__ 						=				[self.cls_token_id]

     if token_ids_a is None:
      return len(cls + token_ids_a + sep			) * [0]
     return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]






    def 		A__      (      self   ,			__lowercase   ,			__lowercase=False   ,			**__lowercase			):
     UpperCAmelCase__ 						=				kwargs.pop("""add_prefix_space"""   ,			self.add_prefix_space			)
     if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE_			) > 0 and not text[0].isspace()):
      UpperCAmelCase__ 						=				' ' + text
     return (text, kwargs)








"""simple docstring"""







from .stack import Stack

def 							UpperCamelCase_       (       lowerCAmelCase__ :							str		)		->  bool:

  """simple docstring"""




  lowerCAmelCase_  :							Stack[str]								=					Stack()
  lowerCAmelCase_  :							List[str]								=					{'(': ')', '[': ']', '{': '}'}
  for bracket in parentheses:
    if bracket in bracket_pairs:
      stack.push(lowerCAmelCase__		)
    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()

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





