

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									=  logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
_a									=  {
    '''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''',
    },
}

_a									=  {
    '''RUCAIBox/mvp''': 1_0_2_4,
}







@lru_cache()
def _a					(			)       ->       List[str]:

 """simple docstring"""






 __lowerCAmelCase:  List[Any]        = (
     list(range(ord('!'						)       ,   ord('~'						) + 1						)						) + list(range(ord('¡'						)       ,   ord('¬'						) + 1						)						) + list(range(ord('®'						)       ,   ord('ÿ'						) + 1						)						)
 )
 __lowerCAmelCase:  Dict        = bs[:]
 __lowerCAmelCase:  Tuple        = 0
 for b in range(2**8						):
  if b not in bs:
   bs.append(SCREAMING_SNAKE_CASE						)
   cs.append(2**8 + n						)
   n += 1
 __lowerCAmelCase:  List[Any]        = [chr(SCREAMING_SNAKE_CASE						) for n in cs]
 return dict(zip(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)						)







def _a					(			SCREAMING_SNAKE_CASE						:     List[str]						)       ->       Any:

 """simple docstring"""






 __lowerCAmelCase:  List[Any]        = set()
 __lowerCAmelCase:  Dict        = word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)						)
  __lowerCAmelCase:  List[Any]        = char
 return pairs






class 				A_					(						snake_case__   ):
     _lowercase     :	str        =      VOCAB_FILES_NAMES
     _lowercase     :	Any        =      PRETRAINED_VOCAB_FILES_MAP
     _lowercase     :	str        =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowercase     :	List[Any]        =      ['input_ids', 'attention_mask']


     def __init__(				self     :						Any     ,    UpperCAmelCase     :						Union[str, Any]     ,    UpperCAmelCase     :						Union[str, Any]     ,    UpperCAmelCase     :						List[str]="replace"     ,    UpperCAmelCase     :						Dict="<s>"     ,    UpperCAmelCase     :						List[str]="</s>"     ,    UpperCAmelCase     :						int="</s>"     ,    UpperCAmelCase     :						Dict="<s>"     ,    UpperCAmelCase     :						Dict="<unk>"     ,    UpperCAmelCase     :						Optional[Any]="<pad>"     ,    UpperCAmelCase     :						Union[str, Any]="<mask>"     ,    UpperCAmelCase     :						int=False     ,    **UpperCAmelCase     :						str     ,    )				->      Any:
      __lowerCAmelCase:  Dict        = AddedToken(_SCREAMING_SNAKE_CASE     ,    lstrip=_SCREAMING_SNAKE_CASE     ,    rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE   ) else bos_token
      __lowerCAmelCase:  int        = AddedToken(_SCREAMING_SNAKE_CASE     ,    lstrip=_SCREAMING_SNAKE_CASE     ,    rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE   ) else eos_token
      __lowerCAmelCase:  Dict        = AddedToken(_SCREAMING_SNAKE_CASE     ,    lstrip=_SCREAMING_SNAKE_CASE     ,    rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE   ) else sep_token
      __lowerCAmelCase:  Tuple        = AddedToken(_SCREAMING_SNAKE_CASE     ,    lstrip=_SCREAMING_SNAKE_CASE     ,    rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE   ) else cls_token
      __lowerCAmelCase:  Optional[int]        = AddedToken(_SCREAMING_SNAKE_CASE     ,    lstrip=_SCREAMING_SNAKE_CASE     ,    rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE   ) else unk_token
      __lowerCAmelCase:  Tuple        = 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
      __lowerCAmelCase:  str        = 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:
       __lowerCAmelCase:  Any        = json.load(_SCREAMING_SNAKE_CASE   )
      __lowerCAmelCase:  Union[str, Any]        = {v: k for k, v in self.encoder.items()}
      __lowerCAmelCase:  Any        = errors  # how to handle errors in decoding
      __lowerCAmelCase:  Tuple        = bytes_to_unicode()
      __lowerCAmelCase:  Any        = {v: k for k, v in self.byte_encoder.items()}
      with open(_SCREAMING_SNAKE_CASE     ,    encoding='utf-8'   ) as merges_handle:
       __lowerCAmelCase:  List[Any]        = merges_handle.read().split('\n'   )[1:-1]
      __lowerCAmelCase:  Dict        = [tuple(merge.split()   ) for merge in bpe_merges]
      __lowerCAmelCase:  int        = dict(zip(_SCREAMING_SNAKE_CASE     ,    range(len(_SCREAMING_SNAKE_CASE   )   )   )   )
      __lowerCAmelCase:  Optional[Any]        = {}
      __lowerCAmelCase:  Tuple        = add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      __lowerCAmelCase:  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     :						str   )				->      Optional[Any]:
      return len(self.encoder   )


     def     UpperCAmelCase    (				self     :						int   )				->      List[str]:
      return dict(self.encoder     ,    **self.added_tokens_encoder   )


     def     UpperCAmelCase    (				self     :						Any     ,    UpperCAmelCase     :						Dict   )				->      Union[str, Any]:
      if token in self.cache:
       return self.cache[token]
      __lowerCAmelCase:  Optional[Any]        = tuple(_SCREAMING_SNAKE_CASE   )
      __lowerCAmelCase:  Tuple        = get_pairs(_SCREAMING_SNAKE_CASE   )

      if not pairs:
       return token

      while True:
       __lowerCAmelCase:  List[str]        = min(_SCREAMING_SNAKE_CASE     ,    key=lambda UpperCAmelCase   : self.bpe_ranks.get(_SCREAMING_SNAKE_CASE     ,    float('inf'   )   )   )
       if bigram not in self.bpe_ranks:
        break
       __lowerCAmelCase      ,				__lowerCAmelCase:  List[str]        = bigram
       __lowerCAmelCase:  Dict        = []
       __lowerCAmelCase:  Any        = 0
       while i < len(_SCREAMING_SNAKE_CASE   ):
        try:
         __lowerCAmelCase:  Optional[Any]        = word.index(_SCREAMING_SNAKE_CASE     ,    _SCREAMING_SNAKE_CASE   )
        except ValueError:
         new_word.extend(word[i:]   )
         break
        else:
         new_word.extend(word[i:j]   )
         __lowerCAmelCase:  List[str]        = 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
       __lowerCAmelCase:  List[Any]        = tuple(_SCREAMING_SNAKE_CASE   )
       __lowerCAmelCase:  List[Any]        = new_word
       if len(_SCREAMING_SNAKE_CASE   ) == 1:
        break
       else:
        __lowerCAmelCase:  Optional[Any]        = get_pairs(_SCREAMING_SNAKE_CASE   )
      __lowerCAmelCase:  List[str]        = ' '.join(_SCREAMING_SNAKE_CASE   )
      __lowerCAmelCase:  List[Any]        = word
      return word


     def     UpperCAmelCase    (				self     :						Union[str, Any]     ,    UpperCAmelCase     :						Union[str, Any]   )				->      Dict:
      __lowerCAmelCase:  Optional[Any]        = []
      for token in re.findall(self.pat     ,    _SCREAMING_SNAKE_CASE   ):
       __lowerCAmelCase:  List[Any]        = ''.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     UpperCAmelCase    (				self     :						Tuple     ,    UpperCAmelCase     :						Optional[int]   )				->      Optional[Any]:
      return self.encoder.get(_SCREAMING_SNAKE_CASE     ,    self.encoder.get(self.unk_token   )   )


     def     UpperCAmelCase    (				self     :						Dict     ,    UpperCAmelCase     :						Any   )				->      Tuple:
      return self.decoder.get(_SCREAMING_SNAKE_CASE   )


     def     UpperCAmelCase    (				self     :						str     ,    UpperCAmelCase     :						List[str]   )				->      Union[str, Any]:
      __lowerCAmelCase:  Any        = ''.join(_SCREAMING_SNAKE_CASE   )
      __lowerCAmelCase:  Optional[Any]        = bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'     ,    errors=self.errors   )
      return text


     def     UpperCAmelCase    (				self     :						List[str]     ,    UpperCAmelCase     :						str     ,    UpperCAmelCase     :						Optional[str] = None   )				->      Tuple[str]:
      if not os.path.isdir(_SCREAMING_SNAKE_CASE   ):
       logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''   )
       return
      __lowerCAmelCase:  Optional[int]        = os.path.join(
          _SCREAMING_SNAKE_CASE     ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
      __lowerCAmelCase:  Tuple        = 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'   )

      __lowerCAmelCase:  Optional[int]        = 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 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!'   )
         __lowerCAmelCase:  Union[str, Any]        = token_index
        writer.write(' '.join(_SCREAMING_SNAKE_CASE   ) + '\n'   )
        index += 1

      return vocab_file, merge_file


     def     UpperCAmelCase    (				self     :						List[str]     ,    UpperCAmelCase     :						List[int]     ,    UpperCAmelCase     :						Optional[List[int]] = None   )				->      List[int]:
      if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      __lowerCAmelCase:  List[Any]        = [self.cls_token_id]
      __lowerCAmelCase:  Optional[Any]        = [self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep


     def     UpperCAmelCase    (				self     :						int     ,    UpperCAmelCase     :						List[int]     ,    UpperCAmelCase     :						Optional[List[int]] = None     ,    UpperCAmelCase     :						bool = False   )				->      List[int]:
      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     UpperCAmelCase    (				self     :						Union[str, Any]     ,    UpperCAmelCase     :						List[int]     ,    UpperCAmelCase     :						Optional[List[int]] = None   )				->      List[int]:
      __lowerCAmelCase:  Optional[int]        = [self.sep_token_id]
      __lowerCAmelCase:  Optional[int]        = [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     :						Optional[int]     ,    UpperCAmelCase     :						Dict     ,    UpperCAmelCase     :						str=False     ,    **UpperCAmelCase     :						Optional[int]   )				->      List[Any]:
      __lowerCAmelCase:  List[Any]        = 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()):
       __lowerCAmelCase:  Optional[int]        = ' ' + text
      return (text, kwargs)













import numpy as np







def   snake_case		(				UpperCAmelCase						:							Any ):
				A									=   np.exp(UpperCAmelCase )

				# Add up the all the exponentials
				A									=   np.sum(UpperCAmelCase )

				# Divide every exponent by the sum of all exponents
				A									=   exponent_vector / sum_of_exponents

				return softmax_vector


if __name__ == "__main__":
					print(softmax((0,)))





