"""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


_SCREAMING_SNAKE_CASE  :		List[str]        =      logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
_SCREAMING_SNAKE_CASE  :		Optional[Any]        =      {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
}

_SCREAMING_SNAKE_CASE  :		Any        =      {
    '''RUCAIBox/mvp''': 1_0_2_4,
}



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



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






class     _SCREAMING_SNAKE_CASE       ( lowercase__							):



			'''simple docstring'''



			__UpperCAmelCase  :       str						=						VOCAB_FILES_NAMES
			__UpperCAmelCase  :       str						=						PRETRAINED_VOCAB_FILES_MAP
			__UpperCAmelCase  :       List[Any]						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__UpperCAmelCase  :       int						=						["""input_ids""", """attention_mask"""]







			def __init__(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE="replace"   ,							_SCREAMING_SNAKE_CASE="<s>"   ,							_SCREAMING_SNAKE_CASE="</s>"   ,							_SCREAMING_SNAKE_CASE="</s>"   ,							_SCREAMING_SNAKE_CASE="<s>"   ,							_SCREAMING_SNAKE_CASE="<unk>"   ,							_SCREAMING_SNAKE_CASE="<pad>"   ,							_SCREAMING_SNAKE_CASE="<mask>"   ,							_SCREAMING_SNAKE_CASE=False   ,							**_SCREAMING_SNAKE_CASE   ,							):


						'''simple docstring'''

						__lowerCamelCase								=				AddedToken(_A   ,							lstrip=_A   ,							rstrip=_A  ) if isinstance(_A   ,							_A  ) else bos_token
						__lowerCamelCase								=				AddedToken(_A   ,							lstrip=_A   ,							rstrip=_A  ) if isinstance(_A   ,							_A  ) else eos_token
						__lowerCamelCase								=				AddedToken(_A   ,							lstrip=_A   ,							rstrip=_A  ) if isinstance(_A   ,							_A  ) else sep_token
						__lowerCamelCase								=				AddedToken(_A   ,							lstrip=_A   ,							rstrip=_A  ) if isinstance(_A   ,							_A  ) else cls_token
						__lowerCamelCase								=				AddedToken(_A   ,							lstrip=_A   ,							rstrip=_A  ) if isinstance(_A   ,							_A  ) else unk_token
						__lowerCamelCase								=				AddedToken(_A   ,							lstrip=_A   ,							rstrip=_A  ) if isinstance(_A   ,							_A  ) else pad_token

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

						super().__init__(
						    errors=_A   ,							bos_token=_A   ,							eos_token=_A   ,							unk_token=_A   ,							sep_token=_A   ,							cls_token=_A   ,							pad_token=_A   ,							mask_token=_A   ,							add_prefix_space=_A   ,							**_A   ,							)
						with open(_A   ,							encoding='utf-8'  ) as vocab_handle:
									__lowerCamelCase								=				json.load(_A  )
						__lowerCamelCase								=				{v: k for k, v in self.encoder.items()}
						__lowerCamelCase								=				errors  # how to handle errors in decoding
						__lowerCamelCase								=				bytes_to_unicode()
						__lowerCamelCase								=				{v: k for k, v in self.byte_encoder.items()}
						with open(_A   ,							encoding='utf-8'  ) as merges_handle:
									__lowerCamelCase								=				merges_handle.read().split('\n'  )[1:-1]
						__lowerCamelCase								=				[tuple(merge.split()  ) for merge in bpe_merges]
						__lowerCamelCase								=				dict(zip(_A   ,							range(len(_A  )  )  )  )
						__lowerCamelCase								=				{}
						__lowerCamelCase								=				add_prefix_space

						# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
						__lowerCamelCase								=				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  ):


						'''simple docstring'''

						return len(self.encoder  )







			def       _A							(  self  ):


						'''simple docstring'''

						return dict(self.encoder   ,							**self.added_tokens_encoder  )







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE  ):


						'''simple docstring'''

						if token in self.cache:
									return self.cache[token]
						__lowerCamelCase								=				tuple(_A  )
						__lowerCamelCase								=				get_pairs(_A  )

						if not pairs:
									return token

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

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







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE  ):


						'''simple docstring'''

						__lowerCamelCase								=				[]
						for token in re.findall(self.pat   ,							_A  ):
									__lowerCamelCase								=				''.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(_A  ).split(' '  )  )
						return bpe_tokens







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE  ):


						'''simple docstring'''

						return self.encoder.get(_A   ,							self.encoder.get(self.unk_token  )  )







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE  ):


						'''simple docstring'''

						return self.decoder.get(_A  )







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE  ):


						'''simple docstring'''

						__lowerCamelCase								=				''.join(_A  )
						__lowerCamelCase								=				bytearray([self.byte_decoder[c] for c in text]  ).decode('utf-8'   ,							errors=self.errors  )
						return text







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None  ):


						'''simple docstring'''

						if not os.path.isdir(_A  ):
									logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''  )
									return
						__lowerCamelCase								=				os.path.join(
						    _A   ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
						__lowerCamelCase								=				os.path.join(
						    _A   ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']  )

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

						__lowerCamelCase								=				0
						with open(_A   ,							'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 _SCREAMING_SNAKE_CASE  : 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!'  )
															__lowerCamelCase								=				token_index
												writer.write(' '.join(_A  ) + '\n'  )
												index += 1

						return vocab_file, merge_file







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None  ):


						'''simple docstring'''

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







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None   ,							_SCREAMING_SNAKE_CASE = False  ):


						'''simple docstring'''

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

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







			def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None  ):


						'''simple docstring'''

						__lowerCamelCase								=				[self.sep_token_id]
						__lowerCamelCase								=				[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   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE=False   ,							**_SCREAMING_SNAKE_CASE  ):


						'''simple docstring'''

						__lowerCamelCase								=				kwargs.pop('add_prefix_space'   ,							self.add_prefix_space  )
						if (is_split_into_words or add_prefix_space) and (len(_A  ) > 0 and not text[0].isspace()):
									__lowerCamelCase								=				' ' + text
						return (text, kwargs)







"""simple docstring"""







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


_SCREAMING_SNAKE_CASE  :		List[str]        =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :		Any        =      {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_SCREAMING_SNAKE_CASE  :		Optional[Any]        =      {
    '''vocab_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt''',
    },
    '''tokenizer_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json''',
    },
}

_SCREAMING_SNAKE_CASE  :		int        =      {
    '''microsoft/mpnet-base''': 5_1_2,
}

_SCREAMING_SNAKE_CASE  :		Tuple        =      {
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}






class     _SCREAMING_SNAKE_CASE       ( UpperCAmelCase							):



   '''simple docstring'''



   __UpperCAmelCase  :       Optional[int]						=						VOCAB_FILES_NAMES
   __UpperCAmelCase  :       Dict						=						PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase  :       Dict						=						PRETRAINED_INIT_CONFIGURATION
   __UpperCAmelCase  :       Dict						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase  :       Union[str, Any]						=						MPNetTokenizer
   __UpperCAmelCase  :       List[Any]						=						["input_ids", "attention_mask"]







   def __init__(  self   ,							_SCREAMING_SNAKE_CASE=None   ,							_SCREAMING_SNAKE_CASE=None   ,							_SCREAMING_SNAKE_CASE=True   ,							_SCREAMING_SNAKE_CASE="<s>"   ,							_SCREAMING_SNAKE_CASE="</s>"   ,							_SCREAMING_SNAKE_CASE="</s>"   ,							_SCREAMING_SNAKE_CASE="<s>"   ,							_SCREAMING_SNAKE_CASE="[UNK]"   ,							_SCREAMING_SNAKE_CASE="<pad>"   ,							_SCREAMING_SNAKE_CASE="<mask>"   ,							_SCREAMING_SNAKE_CASE=True   ,							_SCREAMING_SNAKE_CASE=None   ,							**_SCREAMING_SNAKE_CASE   ,							):


      '''simple docstring'''

      super().__init__(
          _SCREAMING_SNAKE_CASE   ,							tokenizer_file=_SCREAMING_SNAKE_CASE   ,							do_lower_case=_SCREAMING_SNAKE_CASE   ,							bos_token=_SCREAMING_SNAKE_CASE   ,							eos_token=_SCREAMING_SNAKE_CASE   ,							sep_token=_SCREAMING_SNAKE_CASE   ,							cls_token=_SCREAMING_SNAKE_CASE   ,							unk_token=_SCREAMING_SNAKE_CASE   ,							pad_token=_SCREAMING_SNAKE_CASE   ,							mask_token=_SCREAMING_SNAKE_CASE   ,							tokenize_chinese_chars=_SCREAMING_SNAKE_CASE   ,							strip_accents=_SCREAMING_SNAKE_CASE   ,							**_SCREAMING_SNAKE_CASE   ,							)

      __lowerCamelCase								=				json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
      if (
          pre_tok_state.get('lowercase'   ,							_SCREAMING_SNAKE_CASE  ) != do_lower_case
          or pre_tok_state.get('strip_accents'   ,							_SCREAMING_SNAKE_CASE  ) != strip_accents
      ):
         __lowerCamelCase								=				getattr(_SCREAMING_SNAKE_CASE   ,							pre_tok_state.pop('type'  )  )
         __lowerCamelCase								=				do_lower_case
         __lowerCamelCase								=				strip_accents
         __lowerCamelCase								=				pre_tok_class(**_SCREAMING_SNAKE_CASE  )

      __lowerCamelCase								=				do_lower_case







   @property
   def       _A							(  self  ):


      '''simple docstring'''

      if self._mask_token is None:
         if self.verbose:
            logger.error('Using mask_token, but it is not set yet.'  )
         return None
      return str(self._mask_token  )







   @mask_token.setter
   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      __lowerCamelCase								=				AddedToken(_SCREAMING_SNAKE_CASE   ,							lstrip=_SCREAMING_SNAKE_CASE   ,							rstrip=_SCREAMING_SNAKE_CASE  ) if isinstance(_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE  ) else value
      __lowerCamelCase								=				value







   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE=None  ):


      '''simple docstring'''

      __lowerCamelCase								=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
      if token_ids_a is None:
         return output

      return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None  ):


      '''simple docstring'''

      __lowerCamelCase								=				[self.sep_token_id]
      __lowerCamelCase								=				[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   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = None  ):


      '''simple docstring'''

      __lowerCamelCase								=				self._tokenizer.model.save(_SCREAMING_SNAKE_CASE   ,							name=_SCREAMING_SNAKE_CASE  )
      return tuple(_SCREAMING_SNAKE_CASE  )






