




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

import regex as re

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


if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation

UpperCAmelCase__    :							Tuple       		=     logging.get_logger(__name__)

UpperCAmelCase__    :							Union[str, Any]       		=     {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

UpperCAmelCase__    :							Any       		=     {
    'vocab_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/vocab.json',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/vocab.json',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/vocab.json',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/vocab.json',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/vocab.json',
    },
    'merges_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/merges.txt',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/merges.txt',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/merges.txt',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/merges.txt',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/merges.txt',
    },
}

UpperCAmelCase__    :							List[str]       		=     {
    'gpt2': 1024,
    'gpt2-medium': 1024,
    'gpt2-large': 1024,
    'gpt2-xl': 1024,
    'distilgpt2': 1024,
}


@lru_cache()
def 		_lowerCamelCase					(       )      ->		List[Any]:





  """simple docstring"""





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


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Dict:





  """simple docstring"""





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





class   UpperCAmelCase    (      __SCREAMING_SNAKE_CASE ):
   __SCREAMING_SNAKE_CASE		:				Any      					=       VOCAB_FILES_NAMES
   __SCREAMING_SNAKE_CASE		:				str      					=       PRETRAINED_VOCAB_FILES_MAP
   __SCREAMING_SNAKE_CASE		:				str      					=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __SCREAMING_SNAKE_CASE		:				Dict      					=       ["input_ids", "attention_mask"]






   def __init__(						self :							Tuple    ,       UpperCamelCase_ :							int    ,       UpperCamelCase_ :							Union[str, Any]    ,       UpperCamelCase_ :							List[Any]="replace"    ,       UpperCamelCase_ :							str="<|endoftext|>"    ,       UpperCamelCase_ :							List[Any]="<|endoftext|>"    ,       UpperCamelCase_ :							Dict="<|endoftext|>"    ,       UpperCamelCase_ :							Any=None    ,       UpperCamelCase_ :							Union[str, Any]=False    ,       UpperCamelCase_ :							str=False    ,       **UpperCamelCase_ :							Union[str, Any]    ,       )->      List[Any]:
     _lowercase:			List[str]      =     AddedToken(__UpperCAmelCase    ,       lstrip=__UpperCAmelCase    ,       rstrip=__UpperCAmelCase  ) if isinstance(__UpperCAmelCase    ,       __UpperCAmelCase  ) else bos_token
     _lowercase:			List[str]      =     AddedToken(__UpperCAmelCase    ,       lstrip=__UpperCAmelCase    ,       rstrip=__UpperCAmelCase  ) if isinstance(__UpperCAmelCase    ,       __UpperCAmelCase  ) else eos_token
     _lowercase:			Optional[Any]      =     AddedToken(__UpperCAmelCase    ,       lstrip=__UpperCAmelCase    ,       rstrip=__UpperCAmelCase  ) if isinstance(__UpperCAmelCase    ,       __UpperCAmelCase  ) else unk_token
     _lowercase:			Union[str, Any]      =     AddedToken(__UpperCAmelCase    ,       lstrip=__UpperCAmelCase    ,       rstrip=__UpperCAmelCase  ) if isinstance(__UpperCAmelCase    ,       __UpperCAmelCase  ) else pad_token
     super().__init__(
         errors=__UpperCAmelCase    ,       unk_token=__UpperCAmelCase    ,       bos_token=__UpperCAmelCase    ,       eos_token=__UpperCAmelCase    ,       pad_token=__UpperCAmelCase    ,       add_prefix_space=__UpperCAmelCase    ,       add_bos_token=__UpperCAmelCase    ,       **__UpperCAmelCase    ,       )
     _lowercase:			Optional[Any]      =     add_bos_token

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

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






   def 			_a    (						self :							Any  )->      Tuple:
     return dict(self.encoder    ,       **self.added_tokens_encoder  )






   def 			_a    (						self :							Optional[Any]    ,       UpperCamelCase_ :							Tuple  )->      int:
     if token in self.cache:
       return self.cache[token]
     _lowercase:			str      =     tuple(__UpperCAmelCase  )
     _lowercase:			Optional[int]      =     get_pairs(__UpperCAmelCase  )

     if not pairs:
       return token

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






   def 			_a    (						self :							str    ,       UpperCamelCase_ :							str    ,       UpperCamelCase_ :							Optional[int]=None  )->      Tuple:
     if self.add_bos_token:
       _lowercase:			List[Any]      =     [self.bos_token_id]
     else:
       _lowercase:			List[Any]      =     []

     _lowercase:			Optional[Any]      =     bos_token_ids + token_ids_a

     if token_ids_a is None:
       return output

     return output + bos_token_ids + token_ids_a






   def 			_a    (						self :							Dict    ,       UpperCamelCase_ :							Tuple    ,       UpperCamelCase_ :							str = None    ,       UpperCamelCase_ :							Optional[int] = False  )->      List[int]:
     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 not self.add_bos_token:
       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  ))
     return [1] + ([0] * len(__UpperCAmelCase  )) + [1] + ([0] * len(__UpperCAmelCase  ))






   def 			_a    (						self :							Union[str, Any]    ,       UpperCamelCase_ :							Optional[Any]  )->      int:
     _lowercase:			Optional[Any]      =     []
     for token in re.findall(self.pat    ,       __UpperCAmelCase  ):
       _lowercase:			str      =     """""".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 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							str  )->      Tuple:
     return self.encoder.get(__UpperCAmelCase    ,       self.encoder.get(self.unk_token  )  )






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							int  )->      Dict:
     return self.decoder.get(__UpperCAmelCase  )






   def 			_a    (						self :							Dict    ,       UpperCamelCase_ :							List[str]  )->      Any:
     _lowercase:			int      =     """""".join(__UpperCAmelCase  )
     _lowercase:			Dict      =     bytearray([self.byte_decoder[c] for c in text]  ).decode('utf-8'    ,       errors=self.errors  )
     return text






   def 			_a    (						self :							str    ,       UpperCamelCase_ :							List[str]    ,       UpperCamelCase_ :							Optional[Any] = None  )->      Tuple[str]:
     if not os.path.isdir(__UpperCAmelCase  ):
       logger.error(f'Vocabulary path ({save_directory}) should be a directory'  )
       return
     _lowercase:			Tuple      =     os.path.join(
         __UpperCAmelCase    ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
     _lowercase:			str      =     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'  )

     _lowercase:			List[Any]      =     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!'  )
           _lowercase:			List[Any]      =     token_index
         writer.write(' '.join(__UpperCAmelCase  ) + '\n'  )
         index += 1

     return vocab_file, merge_file






   def 			_a    (						self :							Optional[int]    ,       UpperCamelCase_ :							List[Any]    ,       UpperCamelCase_ :							Optional[int]=False    ,       **UpperCamelCase_ :							List[str]  )->      Tuple:
     _lowercase:			Dict      =     kwargs.pop('add_prefix_space'    ,       self.add_prefix_space  )
     if is_split_into_words or add_prefix_space:
       _lowercase:			int      =     """ """ + text
     return (text, kwargs)






   def 			_a    (						self :							Union[str, Any]    ,       UpperCamelCase_ :							int  )->      List[int]:
     _lowercase:			List[str]      =     []
     for is_user, text in conversation.iter_texts():
       input_ids.extend(self.encode(__UpperCAmelCase    ,       add_special_tokens=__UpperCAmelCase  ) + [self.eos_token_id]  )
     if len(__UpperCAmelCase  ) > self.model_max_length:
       _lowercase:			Optional[int]      =     input_ids[-self.model_max_length :]
     return input_ids





'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

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


if TYPE_CHECKING:
					from transformers.pipelines.conversational import Conversation

_UpperCamelCase									=      logging.get_logger(__name__)

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

_UpperCamelCase									=      {
    '''vocab_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/vocab.json''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/vocab.json''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/vocab.json''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/vocab.json''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/merges.txt''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/merges.txt''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/merges.txt''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/merges.txt''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/merges.txt''',
    },
}

_UpperCamelCase									=      {
    '''gpt2''': 1024,
    '''gpt2-medium''': 1024,
    '''gpt2-large''': 1024,
    '''gpt2-xl''': 1024,
    '''distilgpt2''': 1024,
}


@lru_cache()
def 	lowercase_						( ):

			"""simple docstring"""





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


def 	lowercase_						( lowerCAmelCase__						:	List[str]			):

			"""simple docstring"""





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






class _A	(     __SCREAMING_SNAKE_CASE     ):
		_SCREAMING_SNAKE_CASE       :     Any       =      VOCAB_FILES_NAMES
		_SCREAMING_SNAKE_CASE       :     str       =      PRETRAINED_VOCAB_FILES_MAP
		_SCREAMING_SNAKE_CASE       :     str       =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_SCREAMING_SNAKE_CASE       :     Dict       =      ["input_ids", "attention_mask"]





		def __init__(  self			,							__UpperCAmelCase			,							__UpperCAmelCase			,							__UpperCAmelCase="replace"			,							__UpperCAmelCase="<|endoftext|>"			,							__UpperCAmelCase="<|endoftext|>"			,							__UpperCAmelCase="<|endoftext|>"			,							__UpperCAmelCase=None			,							__UpperCAmelCase=False			,							__UpperCAmelCase=False			,							**__UpperCAmelCase			,							)							->  List[Any]:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else bos_token
					__UpperCAmelCase :   List[str]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else eos_token
					__UpperCAmelCase :   Optional[Any]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else unk_token
					__UpperCAmelCase :   Union[str, Any]    					=  AddedToken(__UpperCAmelCase			,							lstrip=__UpperCAmelCase			,							rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase			,							__UpperCAmelCase					) else pad_token
					super().__init__(
					    errors=__UpperCAmelCase			,							unk_token=__UpperCAmelCase			,							bos_token=__UpperCAmelCase			,							eos_token=__UpperCAmelCase			,							pad_token=__UpperCAmelCase			,							add_prefix_space=__UpperCAmelCase			,							add_bos_token=__UpperCAmelCase			,							**__UpperCAmelCase			,							)
					__UpperCAmelCase :   Optional[Any]    					=  add_bos_token

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

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					__UpperCAmelCase :   Tuple    					=  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					)							->  List[str]:

					'''simple docstring'''
					return len(self.encoder					)





		def 				__A							(  self					)							->  Tuple:

					'''simple docstring'''
					return dict(self.encoder			,							**self.added_tokens_encoder					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  int:

					'''simple docstring'''
					if token in self.cache:
								return self.cache[token]
					__UpperCAmelCase :   str    					=  tuple(__UpperCAmelCase					)
					__UpperCAmelCase :   Optional[int]    					=  get_pairs(__UpperCAmelCase					)

					if not pairs:
								return token

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





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase=None					)							->  Tuple:

					'''simple docstring'''
					if self.add_bos_token:
								__UpperCAmelCase :   List[Any]    					=  [self.bos_token_id]
					else:
								__UpperCAmelCase :   List[Any]    					=  []

					__UpperCAmelCase :   Optional[Any]    					=  bos_token_ids + token_ids_a

					if token_ids_a is None:
								return output

					return output + bos_token_ids + token_ids_a





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None			,							__UpperCAmelCase = False					)							->  List[int]:

					'''simple docstring'''
					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 not self.add_bos_token:
								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					))
					return [1] + ([0] * len(__UpperCAmelCase					)) + [1] + ([0] * len(__UpperCAmelCase					))





		def 				__A							(  self			,							__UpperCAmelCase					)							->  int:

					'''simple docstring'''
					__UpperCAmelCase :   Optional[Any]    					=  []
					for token in re.findall(self.pat			,							__UpperCAmelCase					):
								__UpperCAmelCase :   str    					=  """""".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 				__A							(  self			,							__UpperCAmelCase					)							->  Tuple:

					'''simple docstring'''
					return self.encoder.get(__UpperCAmelCase			,							self.encoder.get(self.unk_token					)					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Dict:

					'''simple docstring'''
					return self.decoder.get(__UpperCAmelCase					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Any:

					'''simple docstring'''
					__UpperCAmelCase :   int    					=  """""".join(__UpperCAmelCase					)
					__UpperCAmelCase :   Dict    					=  bytearray([self.byte_decoder[c] for c in text]					).decode("""utf-8"""			,							errors=self.errors					)
					return text





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None					)							->  Tuple[str]:

					'''simple docstring'''
					if not os.path.isdir(__UpperCAmelCase					):
								logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
								return
					__UpperCAmelCase :   Tuple    					=  os.path.join(
					    __UpperCAmelCase			,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
					__UpperCAmelCase :   str    					=  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"""					)

					__UpperCAmelCase :   List[Any]    					=  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!"""					)
														__UpperCAmelCase :   List[Any]    					=  token_index
											writer.write(""" """.join(__UpperCAmelCase					) + """\n"""					)
											index += 1

					return vocab_file, merge_file





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase=False			,							**__UpperCAmelCase					)							->  Tuple:

					'''simple docstring'''
					__UpperCAmelCase :   Dict    					=  kwargs.pop("""add_prefix_space"""			,							self.add_prefix_space					)
					if is_split_into_words or add_prefix_space:
								__UpperCAmelCase :   int    					=  """ """ + text
					return (text, kwargs)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  List[int]:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  []
					for is_user, text in conversation.iter_texts():
								input_ids.extend(self.encode(__UpperCAmelCase			,							add_special_tokens=__UpperCAmelCase					) + [self.eos_token_id]					)
					if len(__UpperCAmelCase					) > self.model_max_length:
								__UpperCAmelCase :   Optional[int]    					=  input_ids[-self.model_max_length :]
					return input_ids




