code: 
  
  
  
  
  
  
  """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
  
  lowercase__      =				logging.get_logger(__name__)
  
  lowercase__      =				{
      """vocab_file""": """vocab.json""",
      """merges_file""": """merges.txt""",
  }
  
  lowercase__      =				{
      """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""",
      },
  }
  
  lowercase__      =				{
      """gpt2""": 1024,
      """gpt2-medium""": 1024,
      """gpt2-large""": 1024,
      """gpt2-xl""": 1024,
      """distilgpt2""": 1024,
  }
  
  @lru_cache()
  def 	__lowerCamelCase			(						)		->					Dict:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		lowerCAmelCase_     :							List[str]             =    (
  		    list(range(ord("!" )   , ord("~" ) + 1 ) ) + list(range(ord("¡" )   , ord("¬" ) + 1 ) ) + list(range(ord("®" )   , ord("ÿ" ) + 1 ) )
  		)
  		lowerCAmelCase_     :							str             =    bs[:]
  		lowerCAmelCase_     :							List[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[str]             =    [chr(__UpperCamelCase ) for n in cs]
  		return dict(zip(__UpperCamelCase   , __UpperCamelCase ) )
  
  def 	__lowerCamelCase			(						__UpperCamelCase )		->					Union[str, Any]:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		lowerCAmelCase_     :							str             =    set()
  		lowerCAmelCase_     :							Union[str, Any]             =    word[0]
  		for char in word[1:]:
  				pairs.add((prev_char, char) )
  				lowerCAmelCase_     :							Union[str, Any]             =    char
  		return pairs
  
  
  
  class 	__lowerCamelCase       (				A__    ):
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  		a_			:       str      =							VOCAB_FILES_NAMES
  		a_			:       List[Any]      =							PRETRAINED_VOCAB_FILES_MAP
  		a_			:       int      =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		a_			:       Union[str, Any]      =							["""input_ids""", """attention_mask"""]
  
  
  
  
  
  		def __init__(     self							:			Dict		,    a_							:			Union[str, Any]		,    a_							:			Union[str, Any]		,    a_							:			List[str]="replace"		,    a_							:			Union[str, Any]="<|endoftext|>"		,    a_							:			Union[str, Any]="<|endoftext|>"		,    a_							:			Optional[int]="<|endoftext|>"		,    a_							:			Any=None		,    a_							:			Optional[int]=False		,    a_							:			Union[str, Any]=False		,    **a_							:			int		,    ):
  				lowerCAmelCase_     :							Optional[int]             =    AddedToken(a_		,    lstrip=a_		,    rstrip=a_			) if isinstance(a_		,    a_			) else bos_token
  				lowerCAmelCase_     :							int             =    AddedToken(a_		,    lstrip=a_		,    rstrip=a_			) if isinstance(a_		,    a_			) else eos_token
  				lowerCAmelCase_     :							Optional[int]             =    AddedToken(a_		,    lstrip=a_		,    rstrip=a_			) if isinstance(a_		,    a_			) else unk_token
  				lowerCAmelCase_     :							Any             =    AddedToken(a_		,    lstrip=a_		,    rstrip=a_			) if isinstance(a_		,    a_			) else pad_token
  				super().__init__(
  				    errors=a_		,    unk_token=a_		,    bos_token=a_		,    eos_token=a_		,    pad_token=a_		,    add_prefix_space=a_		,    add_bos_token=a_		,    **a_		,    )
  				lowerCAmelCase_     :							Union[str, Any]             =    add_bos_token
  
  				with open(a_		,    encoding="utf-8"			) as vocab_handle:
  						lowerCAmelCase_     :							Tuple             =    json.load(a_			)
  				lowerCAmelCase_     :							Optional[int]             =    {v: k for k, v in self.encoder.items()}
  				lowerCAmelCase_     :							str             =    errors  # how to handle errors in decoding
  				lowerCAmelCase_     :							Optional[Any]             =    bytes_to_unicode()
  				lowerCAmelCase_     :							str             =    {v: k for k, v in self.byte_encoder.items()}
  				with open(a_		,    encoding="utf-8"			) as merges_handle:
  						lowerCAmelCase_     :							Tuple             =    merges_handle.read().split("\n"			)[1:-1]
  				lowerCAmelCase_     :							str             =    [tuple(merge.split()			) for merge in bpe_merges]
  				lowerCAmelCase_     :							List[str]             =    dict(zip(a_		,    range(len(a_			)			)			)			)
  				lowerCAmelCase_     :							Union[str, Any]             =    {}
  				lowerCAmelCase_     :							List[str]             =    add_prefix_space
  
  				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  				lowerCAmelCase_     :							str             =    re.compile(R"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"			)
  
  
  
  
  
  		@property
  		def      lowerCamelCase (     self							:			Any			):
  				return len(self.encoder			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Tuple			):
  				return dict(self.encoder		,    **self.added_tokens_encoder			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Dict		,    a_							:			Dict			):
  				if token in self.cache:
  						return self.cache[token]
  				lowerCAmelCase_     :							int             =    tuple(a_			)
  				lowerCAmelCase_     :							Any             =    get_pairs(a_			)
  
  				if not pairs:
  						return token
  
  				while True:
  						lowerCAmelCase_     :							List[Any]             =    min(a_		,    key=lambda a_			: self.bpe_ranks.get(a_		,    float("inf"			)			)			)
  						if bigram not in self.bpe_ranks:
  								break
  						lowerCAmelCase_       ,			lowerCAmelCase_     :							int             =    bigram
  						lowerCAmelCase_     :							List[str]             =    []
  						lowerCAmelCase_     :							Union[str, Any]             =    0
  						while i < len(a_			):
  								try:
  										lowerCAmelCase_     :							Optional[Any]             =    word.index(a_		,    a_			)
  								except ValueError:
  										new_word.extend(word[i:]			)
  										break
  								else:
  										new_word.extend(word[i:j]			)
  										lowerCAmelCase_     :							Any             =    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_     :							Any             =    tuple(a_			)
  						lowerCAmelCase_     :							Optional[int]             =    new_word
  						if len(a_			) == 1:
  								break
  						else:
  								lowerCAmelCase_     :							Any             =    get_pairs(a_			)
  				lowerCAmelCase_     :							Optional[int]             =    " ".join(a_			)
  				lowerCAmelCase_     :							int             =    word
  				return word
  
  
  
  
  
  		def      lowerCamelCase (     self							:			List[str]		,    a_							:			Union[str, Any]		,    a_							:			List[Any]=None			):
  				if self.add_bos_token:
  						lowerCAmelCase_     :							Union[str, Any]             =    [self.bos_token_id]
  				else:
  						lowerCAmelCase_     :							Dict             =    []
  
  				lowerCAmelCase_     :							Union[str, Any]             =    bos_token_ids + token_ids_a
  
  				if token_ids_a is None:
  						return output
  
  				return output + bos_token_ids + token_ids_a
  
  
  
  
  
  		def      lowerCamelCase (     self							:			List[Any]		,    a_							:			List[int]		,    a_							:			Optional[List[int]] = None		,    a_							:			bool = False			):
  				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 not self.add_bos_token:
  						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_			))
  				return [1] + ([0] * len(a_			)) + [1] + ([0] * len(a_			))
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[Any]		,    a_							:			Optional[Any]			):
  				lowerCAmelCase_     :							Any             =    []
  				for token in re.findall(self.pat		,    a_			):
  						lowerCAmelCase_     :							Optional[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(a_			).split(" "			)			)
  				return bpe_tokens
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[Any]		,    a_							:			Any			):
  				return self.encoder.get(a_		,    self.encoder.get(self.unk_token			)			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Optional[int]		,    a_							:			int			):
  				return self.decoder.get(a_			)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Any		,    a_							:			List[str]			):
  				lowerCAmelCase_     :							Optional[Any]             =    "".join(a_			)
  				lowerCAmelCase_     :							Tuple             =    bytearray([self.byte_decoder[c] for c in text]			).decode("utf-8"		,    errors=self.errors			)
  				return text
  
  
  
  
  
  		def      lowerCamelCase (     self							:			int		,    a_							:			str		,    a_							:			Optional[str] = None			):
  				if not os.path.isdir(a_			):
  						logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
  						return
  				lowerCAmelCase_     :							Optional[Any]             =    os.path.join(
  				    a_		,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
  				lowerCAmelCase_     :							Optional[int]             =    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_     :							Optional[int]             =    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 a_			: 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_     :							Optional[Any]             =    token_index
  								writer.write(" ".join(a_			) + "\n"			)
  								index += 1
  
  				return vocab_file, merge_file
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Dict		,    a_							:			Dict		,    a_							:			int=False		,    **a_							:			str			):
  				lowerCAmelCase_     :							int             =    kwargs.pop("add_prefix_space"		,    self.add_prefix_space			)
  				if is_split_into_words or add_prefix_space:
  						lowerCAmelCase_     :							str             =    " " + text
  				return (text, kwargs)
  
  
  
  
  
  		def      lowerCamelCase (     self							:			Dict		,    a_							:			"Conversation"			):
  				lowerCAmelCase_     :							Union[str, Any]             =    []
  				for is_user, text in conversation.iter_texts():
  						input_ids.extend(self.encode(a_		,    add_special_tokens=a_			) + [self.eos_token_id]			)
  				if len(a_			) > self.model_max_length:
  						lowerCAmelCase_     :							Optional[int]             =    input_ids[-self.model_max_length :]
  				return input_ids
  
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  lowercase__      =				{
      """configuration_mobilevitv2""": [
          """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
          """MobileViTV2Config""",
          """MobileViTV2OnnxConfig""",
      ],
  }
  
  
  try:
  					if not is_torch_available():
  										raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  					pass
  else:
  					lowercase__      =				[
  					    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
  					    """MobileViTV2ForImageClassification""",
  					    """MobileViTV2ForSemanticSegmentation""",
  					    """MobileViTV2Model""",
  					    """MobileViTV2PreTrainedModel""",
  					]
  
  if TYPE_CHECKING:
  					from .configuration_mobilevitva import (
  					    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
  					    MobileViTVaConfig,
  					    MobileViTVaOnnxConfig,
  					)
  
  					try:
  										if not is_torch_available():
  															raise OptionalDependencyNotAvailable()
  					except OptionalDependencyNotAvailable:
  										pass
  					else:
  										from .modeling_mobilevitva import (
  										    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
  										    MobileViTVaForImageClassification,
  										    MobileViTVaForSemanticSegmentation,
  										    MobileViTVaModel,
  										    MobileViTVaPreTrainedModel,
  										)
  
  else:
  					import sys
  
  					lowercase__      =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  