

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''',
}

_a	 =     {
    '''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	 =     {
    '''roberta-base''': 5_1_2,
    '''roberta-large''': 5_1_2,
    '''roberta-large-mnli''': 5_1_2,
    '''distilroberta-base''': 5_1_2,
    '''roberta-base-openai-detector''': 5_1_2,
    '''roberta-large-openai-detector''': 5_1_2,
}







@lru_cache()
def _a				( )					->					Union[str, Any]:

 """simple docstring"""






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







def _a				( SCREAMING_SNAKE_CASE	:    Optional[int]	)					->					Any:

 """simple docstring"""






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






class 							A_				(	snake_case__      ):
     _lowercase    :  str          =			VOCAB_FILES_NAMES
     _lowercase    :  Optional[int]          =			PRETRAINED_VOCAB_FILES_MAP
     _lowercase    :  Union[str, Any]          =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowercase    :  Dict          =			["input_ids", "attention_mask"]


     def __init__(							self    :	Union[str, Any]    ,						UpperCAmelCase    :	Tuple    ,						UpperCAmelCase    :	Optional[int]    ,						UpperCAmelCase    :	Any="replace"    ,						UpperCAmelCase    :	Dict="<s>"    ,						UpperCAmelCase    :	Optional[Any]="</s>"    ,						UpperCAmelCase    :	Optional[int]="</s>"    ,						UpperCAmelCase    :	Dict="<s>"    ,						UpperCAmelCase    :	int="<unk>"    ,						UpperCAmelCase    :	List[Any]="<pad>"    ,						UpperCAmelCase    :	Union[str, Any]="<mask>"    ,						UpperCAmelCase    :	Union[str, Any]=False    ,						**UpperCAmelCase    :	Optional[int]    ,						)							->			str:
      __lowerCAmelCase:     List[str]     			=   AddedToken(UpperCAmelCase_    ,						lstrip=UpperCAmelCase_    ,						rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_    ,						UpperCAmelCase_      ) else bos_token
      __lowerCAmelCase:     List[str]     			=   AddedToken(UpperCAmelCase_    ,						lstrip=UpperCAmelCase_    ,						rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_    ,						UpperCAmelCase_      ) else eos_token
      __lowerCAmelCase:     Any     			=   AddedToken(UpperCAmelCase_    ,						lstrip=UpperCAmelCase_    ,						rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_    ,						UpperCAmelCase_      ) else sep_token
      __lowerCAmelCase:     Tuple     			=   AddedToken(UpperCAmelCase_    ,						lstrip=UpperCAmelCase_    ,						rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_    ,						UpperCAmelCase_      ) else cls_token
      __lowerCAmelCase:     str     			=   AddedToken(UpperCAmelCase_    ,						lstrip=UpperCAmelCase_    ,						rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_    ,						UpperCAmelCase_      ) else unk_token
      __lowerCAmelCase:     Union[str, Any]     			=   AddedToken(UpperCAmelCase_    ,						lstrip=UpperCAmelCase_    ,						rstrip=UpperCAmelCase_      ) if isinstance(UpperCAmelCase_    ,						UpperCAmelCase_      ) else pad_token

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

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

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

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


     def 						UpperCAmelCase						(							self    :	Union[str, Any]      )							->			Dict:
      return dict(self.encoder    ,						**self.added_tokens_encoder      )


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

      if not pairs:
       return token

      while True:
       __lowerCAmelCase:     Optional[int]     			=   min(UpperCAmelCase_    ,						key=lambda UpperCAmelCase      : self.bpe_ranks.get(UpperCAmelCase_    ,						float('inf'      )      )      )
       if bigram not in self.bpe_ranks:
        break
       __lowerCAmelCase:     Tuple     			=   bigram
       __lowerCAmelCase:     Dict     			=   []
       __lowerCAmelCase:     Tuple     			=   0
       while i < len(UpperCAmelCase_      ):
        try:
         __lowerCAmelCase:     Optional[int]     			=   word.index(UpperCAmelCase_    ,						UpperCAmelCase_      )
        except ValueError:
         new_word.extend(word[i:]      )
         break
        else:
         new_word.extend(word[i:j]      )
         __lowerCAmelCase:     Tuple     			=   j

        if word[i] == first and i < len(UpperCAmelCase_      ) - 1 and word[i + 1] == second:
         new_word.append(first + second      )
         i += 2
        else:
         new_word.append(word[i]      )
         i += 1
       __lowerCAmelCase:     Union[str, Any]     			=   tuple(UpperCAmelCase_      )
       __lowerCAmelCase:     Dict     			=   new_word
       if len(UpperCAmelCase_      ) == 1:
        break
       else:
        __lowerCAmelCase:     str     			=   get_pairs(UpperCAmelCase_      )
      __lowerCAmelCase:     int     			=   ' '.join(UpperCAmelCase_      )
      __lowerCAmelCase:     Optional[int]     			=   word
      return word


     def 						UpperCAmelCase						(							self    :	str    ,						UpperCAmelCase    :	List[str]      )							->			int:
      __lowerCAmelCase:     Tuple     			=   []
      for token in re.findall(self.pat    ,						UpperCAmelCase_      ):
       __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(UpperCAmelCase_      ).split(' '      )      )
      return bpe_tokens


     def 						UpperCAmelCase						(							self    :	List[str]    ,						UpperCAmelCase    :	Tuple      )							->			List[str]:
      return self.encoder.get(UpperCAmelCase_    ,						self.encoder.get(self.unk_token      )      )


     def 						UpperCAmelCase						(							self    :	Dict    ,						UpperCAmelCase    :	Any      )							->			Optional[Any]:
      return self.decoder.get(UpperCAmelCase_      )


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


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

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

      __lowerCAmelCase:     List[str]     			=   0
      with open(UpperCAmelCase_    ,						'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:     List[str]     			=   token_index
        writer.write(' '.join(UpperCAmelCase_      ) + '\n'      )
        index += 1

      return vocab_file, merge_file


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


     def 						UpperCAmelCase						(							self    :	List[Any]    ,						UpperCAmelCase    :	List[int]    ,						UpperCAmelCase    :	Optional[List[int]] = None    ,						UpperCAmelCase    :	bool = False      )							->			List[str]:
      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=UpperCAmelCase_    ,						token_ids_a=UpperCAmelCase_    ,						already_has_special_tokens=UpperCAmelCase_      )

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


     def 						UpperCAmelCase						(							self    :	Dict    ,						UpperCAmelCase    :	List[int]    ,						UpperCAmelCase    :	Optional[List[int]] = None      )							->			Optional[Any]:
      __lowerCAmelCase:     Any     			=   [self.sep_token_id]
      __lowerCAmelCase:     List[str]     			=   [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    :	List[str]    ,						UpperCAmelCase    :	Optional[Any]    ,						UpperCAmelCase    :	Optional[int]=False    ,						**UpperCAmelCase    :	List[str]      )							->			Tuple:
      __lowerCAmelCase:     Dict     			=   kwargs.pop('add_prefix_space'    ,						self.add_prefix_space      )
      if (is_split_into_words or add_prefix_space) and (len(UpperCAmelCase_      ) > 0 and not text[0].isspace()):
       __lowerCAmelCase:     Optional[int]     			=   ' ' + text
      return (text, kwargs)








import math






class 							A_				:


     def __init__(							self    :	Any    ,						UpperCAmelCase    :	int    ,						UpperCAmelCase    :	int    ,						UpperCAmelCase    :	int    ,						UpperCAmelCase    :	Any      )							->			Any:
      __lowerCAmelCase:     Optional[Any]     			=   x
      __lowerCAmelCase:     Any     			=   y
      __lowerCAmelCase:     Tuple     			=   step_size
      __lowerCAmelCase:     Dict     			=   function_to_optimize


     def 						UpperCAmelCase						(							self    :	Dict      )							->			int:
      return self.function(self.x    ,						self.y      )


     def 						UpperCAmelCase						(							self    :	str      )							->			int:
      __lowerCAmelCase:     Union[str, Any]     			=   self.step_size
      return [
          SearchProblem(UpperCAmelCase    ,						UpperCAmelCase    ,						UpperCAmelCase    ,						self.function      )
          for x, y in (
              (self.x - step_size, self.y - step_size),
              (self.x - step_size, self.y),
              (self.x - step_size, self.y + step_size),
              (self.x, self.y - step_size),
              (self.x, self.y + step_size),
              (self.x + step_size, self.y - step_size),
              (self.x + step_size, self.y),
              (self.x + step_size, self.y + step_size),
          )
      ]


     def __hash__(							self    :	Optional[Any]      )							->			int:
      return hash(str(self      )      )


     def __eq__(							self    :	Dict    ,						UpperCAmelCase    :	Tuple      )							->			Any:
      if isinstance(UpperCAmelCase    ,						UpperCAmelCase      ):
       return hash(str(self      )      ) == hash(str(UpperCAmelCase      )      )
      return False


     def __str__(							self    :	Optional[Any]      )							->			Dict:
      return F'''x: {self.x} y: {self.y}'''







def _a				( SCREAMING_SNAKE_CASE	:    List[str]					,      SCREAMING_SNAKE_CASE	:    bool = True					,      SCREAMING_SNAKE_CASE	:    float = math.inf					,      SCREAMING_SNAKE_CASE	:    float = -math.inf					,      SCREAMING_SNAKE_CASE	:    float = math.inf					,      SCREAMING_SNAKE_CASE	:    float = -math.inf					,      SCREAMING_SNAKE_CASE	:    bool = False					,      SCREAMING_SNAKE_CASE	:    int = 1_00_00					,      )					->					SearchProblem:

 """simple docstring"""






 __lowerCAmelCase:     Dict     			=   search_prob
 __lowerCAmelCase:     str     			=   []  # list to store the current score at each iteration
 __lowerCAmelCase:     Optional[int]     			=   0
 __lowerCAmelCase:     int     			=   False
 __lowerCAmelCase:     Any     			=   set()
 while not solution_found and iterations < max_iter:
  visited.add(SCREAMING_SNAKE_CASE	)
  iterations += 1
  __lowerCAmelCase:     int     			=   current_state.score()
  scores.append(SCREAMING_SNAKE_CASE	)
  __lowerCAmelCase:     Any     			=   current_state.get_neighbors()
  __lowerCAmelCase:     Tuple     			=   -math.inf
  __lowerCAmelCase:     Any     			=   math.inf
  __lowerCAmelCase:     Dict     			=   None  # to hold the next best neighbor
  for neighbor in neighbors:
   if neighbor in visited:
    continue  # do not want to visit the same state again
   if (
       neighbor.x > max_x
       or neighbor.x < min_x
       or neighbor.y > max_y
       or neighbor.y < min_y
   ):
    continue  # neighbor outside our bounds
   __lowerCAmelCase:     List[str]     			=   neighbor.score() - current_score
   if find_max:  # finding max
    # going to direction with greatest ascent
    if change > max_change and change > 0:
     __lowerCAmelCase:     int     			=   change
     __lowerCAmelCase:     int     			=   neighbor
   else:  # finding min
    # to direction with greatest descent
    if change < min_change and change < 0:
     __lowerCAmelCase:     str     			=   change
     __lowerCAmelCase:     str     			=   neighbor
  if next_state is not None:
   # we found at least one neighbor which improved the current state
   __lowerCAmelCase:     Optional[Any]     			=   next_state
  else:
   # since we have no neighbor that improves the solution we stop the search
   __lowerCAmelCase:     Dict     			=   True

 if visualization:
  from matplotlib import pyplot as plt

  plt.plot(range(SCREAMING_SNAKE_CASE	)					,      SCREAMING_SNAKE_CASE	)
  plt.xlabel('Iterations'	)
  plt.ylabel('Function values'	)
  plt.show()

 return current_state


if __name__ == "__main__":
  import doctest

  doctest.testmod()







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

   """simple docstring"""






   return (x**2) + (y**2)

  # starting the problem with initial coordinates (3, 4)
  _a	 =     SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
  _a	 =     hill_climbing(prob, find_max=False)
  print(
      '''The minimum score for f(x, y) = x^2 + y^2 found via hill climbing: '''
      f"{local_min.score()}"
  )

  # starting the problem with initial coordinates (12, 47)
  _a	 =     SearchProblem(x=1_2, y=4_7, step_size=1, function_to_optimize=test_fa)
  _a	 =     hill_climbing(
      prob, find_max=False, max_x=1_0_0, min_x=5, max_y=5_0, min_y=-5, visualization=True
  )
  print(
      '''The minimum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 '''
      f"and 50 > y > - 5 found via hill climbing: {local_min.score()}"
  )







  def _a				( SCREAMING_SNAKE_CASE	:    Tuple					,      SCREAMING_SNAKE_CASE	:    List[Any]	)					->					Dict:

   """simple docstring"""






   return (3 * x**2) - (6 * y)

  _a	 =     SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
  _a	 =     hill_climbing(prob, find_max=True)



  print(
      '''The maximum score for f(x, y) = x^2 + y^2 found via hill climbing: '''
      f"{local_min.score()}"
  )





