






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


SCREAMING_SNAKE_CASE__		:       Union[str, Any]   							=							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__		:       Optional[int]   							=							{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

SCREAMING_SNAKE_CASE__		:       Dict   							=							{
    """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"""
        ),
    },
}

SCREAMING_SNAKE_CASE__		:       Any   							=							{
    """roberta-base""": 5_12,
    """roberta-large""": 5_12,
    """roberta-large-mnli""": 5_12,
    """distilroberta-base""": 5_12,
    """roberta-base-openai-detector""": 5_12,
    """roberta-large-openai-detector""": 5_12,
}





@lru_cache()
def    _lowerCamelCase	(	)   -> Any:

     '''simple docstring'''
     UpperCAmelCase__			:     Optional[Any]										= (
         list(range(ord("""!"""					)   ,       ord("""~"""					) + 1					)					) + list(range(ord("""¡"""					)   ,       ord("""¬"""					) + 1					)					) + list(range(ord("""®"""					)   ,       ord("""ÿ"""					) + 1					)					)
     )
     UpperCAmelCase__			:     Union[str, Any]										= bs[:]
     UpperCAmelCase__			:     str										= 0
     for b in range(2**8					):
          if b not in bs:
               bs.append(_A					)
               cs.append(2**8 + n					)
               n += 1
     UpperCAmelCase__			:     int										= [chr(_A					) for n in cs]
     return dict(zip(_A   ,       _A					)					)





def    _lowerCamelCase	(	__lowerCamelCase					)   -> Optional[Any]:

     '''simple docstring'''
     UpperCAmelCase__			:     List[Any]										= set()
     UpperCAmelCase__			:     str										= word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)					)
          UpperCAmelCase__			:     Optional[int]										= char
     return pairs







class 							UpperCAmelCase_     (		lowerCamelCase__		):
     __lowerCamelCase										=     VOCAB_FILES_NAMES
     __lowerCamelCase										=     PRETRAINED_VOCAB_FILES_MAP
     __lowerCamelCase										=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __lowerCamelCase										=     ['input_ids', 'attention_mask']




     def __init__(							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase  ,	_lowerCAmelCase="replace"  ,	_lowerCAmelCase="<s>"  ,	_lowerCAmelCase="</s>"  ,	_lowerCAmelCase="</s>"  ,	_lowerCAmelCase="<s>"  ,	_lowerCAmelCase="<unk>"  ,	_lowerCAmelCase="<pad>"  ,	_lowerCAmelCase="<mask>"  ,	_lowerCAmelCase=False  ,	**_lowerCAmelCase  ,	):
          UpperCAmelCase__			:     List[Any]										= AddedToken(lowercase_  ,	lstrip=lowercase_  ,	rstrip=lowercase_		) if isinstance(lowercase_  ,	lowercase_		) else bos_token
          UpperCAmelCase__			:     str										= AddedToken(lowercase_  ,	lstrip=lowercase_  ,	rstrip=lowercase_		) if isinstance(lowercase_  ,	lowercase_		) else eos_token
          UpperCAmelCase__			:     Dict										= AddedToken(lowercase_  ,	lstrip=lowercase_  ,	rstrip=lowercase_		) if isinstance(lowercase_  ,	lowercase_		) else sep_token
          UpperCAmelCase__			:     str										= AddedToken(lowercase_  ,	lstrip=lowercase_  ,	rstrip=lowercase_		) if isinstance(lowercase_  ,	lowercase_		) else cls_token
          UpperCAmelCase__			:     int										= AddedToken(lowercase_  ,	lstrip=lowercase_  ,	rstrip=lowercase_		) if isinstance(lowercase_  ,	lowercase_		) else unk_token
          UpperCAmelCase__			:     str										= AddedToken(lowercase_  ,	lstrip=lowercase_  ,	rstrip=lowercase_		) if isinstance(lowercase_  ,	lowercase_		) else pad_token

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

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

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

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




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




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




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):






          if token in self.cache:
               return self.cache[token]
          UpperCAmelCase__			:     Dict										= tuple(lowercase_		)
          UpperCAmelCase__			:     str										= get_pairs(lowercase_		)

          if not pairs:
               return token

          while True:
               UpperCAmelCase__			:     Union[str, Any]										= min(lowercase_  ,	key=lambda _lowerCAmelCase		: self.bpe_ranks.get(lowercase_  ,	float("""inf"""		)		)		)
               if bigram not in self.bpe_ranks:
                    break
               UpperCAmelCase__			,		UpperCAmelCase__			:     int										= bigram
               UpperCAmelCase__			:     Optional[int]										= []
               UpperCAmelCase__			:     Tuple										= 0
               while i < len(lowercase_		):
                    try:
                         UpperCAmelCase__			:     Dict										= word.index(lowercase_  ,	lowercase_		)
                    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(lowercase_		) - 1 and word[i + 1] == second:
                         new_word.append(first + second		)
                         i += 2
                    else:
                         new_word.append(word[i]		)
                         i += 1
               UpperCAmelCase__			:     List[Any]										= tuple(lowercase_		)
               UpperCAmelCase__			:     Optional[Any]										= new_word
               if len(lowercase_		) == 1:
                    break
               else:
                    UpperCAmelCase__			:     Union[str, Any]										= get_pairs(lowercase_		)
          UpperCAmelCase__			:     int										= """ """.join(lowercase_		)
          UpperCAmelCase__			:     Dict										= word
          return word




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
          UpperCAmelCase__			:     Union[str, Any]										= []
          for token in re.findall(self.pat  ,	lowercase_		):
               UpperCAmelCase__			:     int										= """""".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(lowercase_		).split(""" """		)		)
          return bpe_tokens




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
          return self.encoder.get(lowercase_  ,	self.encoder.get(self.unk_token		)		)




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
          return self.decoder.get(lowercase_		)




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
          UpperCAmelCase__			:     List[Any]										= """""".join(lowercase_		)
          UpperCAmelCase__			:     Optional[Any]										= bytearray([self.byte_decoder[c] for c in text]		).decode("""utf-8"""  ,	errors=self.errors		)
          return text




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase = None		):






          if not os.path.isdir(lowercase_		):
               logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
               return
          UpperCAmelCase__			:     Optional[int]										= os.path.join(
              lowercase_  ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)
          UpperCAmelCase__			:     Any										= os.path.join(
              lowercase_  ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]		)

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

          UpperCAmelCase__			:     int										= 0
          with open(lowercase_  ,	"""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 _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__			:     int										= token_index
                    writer.write(""" """.join(lowercase_		) + """\n"""		)
                    index += 1

          return vocab_file, merge_file




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase = None		):






          if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          UpperCAmelCase__			:     int										= [self.cls_token_id]
          UpperCAmelCase__			:     Dict										= [self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase = None  ,	_lowerCAmelCase = False		):






          if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=lowercase_  ,	token_ids_a=lowercase_  ,	already_has_special_tokens=lowercase_		)

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




     def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase = None		):
          UpperCAmelCase__			:     Union[str, Any]										= [self.sep_token_id]
          UpperCAmelCase__			:     Any										= [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      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase=False  ,	**_lowerCAmelCase		):
          UpperCAmelCase__			:     Tuple										= kwargs.pop("""add_prefix_space"""  ,	self.add_prefix_space		)
          if (is_split_into_words or add_prefix_space) and (len(lowercase_		) > 0 and not text[0].isspace()):
               UpperCAmelCase__			:     Optional[int]										= """ """ + text
          return (text, kwargs)














from ..utils import requires_backends


SCREAMING_SNAKE_CASE__		:       int   							=							None







class 							UpperCAmelCase_     :




     def __init__(							self  ,	*_lowerCAmelCase  ,	**_lowerCAmelCase		):
          requires_backends(self  ,	["""detectron2"""]		)




     @classmethod
     def      __UpperCAmelCase     (							cls  ,	*_lowerCAmelCase  ,	**_lowerCAmelCase		):
          requires_backends(cls  ,	["""detectron2"""]		)






