code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  import json
  import os
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils import PreTrainedTokenizer
  from ...utils import logging
  
  
  _lowerCamelCase							:		str										=						logging.get_logger(__name__)
  
  _lowerCamelCase							:		Optional[int]										=						{
      'vocab_file': 'vocab.json',
      'merges_file': 'merges.txt',
  }
  
  _lowerCamelCase							:		List[str]										=						{
      'vocab_file': {
          'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json',
      },
      'merges_file': {'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'},
  }
  
  _lowerCamelCase							:		List[Any]										=						{
      'microsoft/biogpt': 1_024,
  }
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		_snake_case			 = set()
  		_snake_case			 = word[0]
  		for char in word[1:]:
  				pairs.add((prev_char, char)						)
  				_snake_case			 = char
  		return pairs
  
  
  
  
  
  class   lowerCamelCase_							( UpperCAmelCase_							):
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  					lowercase__					=				VOCAB_FILES_NAMES
  					lowercase__					=				PRETRAINED_VOCAB_FILES_MAP
  					lowercase__					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  					lowercase__					=				["""input_ids""", """attention_mask"""]
  
  
  
  
  
  
  					def __init__(					self,						__UpperCamelCase,						__UpperCamelCase,						__UpperCamelCase="<unk>",						__UpperCamelCase="<s>",						__UpperCamelCase="</s>",						__UpperCamelCase="</s>",						__UpperCamelCase="<pad>",						**__UpperCamelCase,						):
  							super().__init__(
  							    bos_token=__UpperCamelCase,						eos_token=__UpperCamelCase,						sep_token=__UpperCamelCase,						unk_token=__UpperCamelCase,						pad_token=__UpperCamelCase,						**__UpperCamelCase,						)
  
  							try:
  									import sacremoses
  							except ImportError:
  									raise ImportError(
  									    "You need to install sacremoses to use BioGptTokenizer. "
  									    "See https://pypi.org/project/sacremoses/ for installation."				)
  
  							_snake_case			 = "en"
  							_snake_case			 = sacremoses
  							# cache of sm.MosesTokenizer instance
  							_snake_case			 = {}
  							_snake_case			 = {}
  							with open(__UpperCamelCase,						encoding="utf-8"				) as vocab_handle:
  									_snake_case			 = json.load(__UpperCamelCase				)
  							_snake_case			 = {v: k for k, v in self.encoder.items()}
  							with open(__UpperCamelCase,						encoding="utf-8"				) as merges_handle:
  									_snake_case			 = merges_handle.read().split("\n"				)[:-1]
  							_snake_case			 = [tuple(merge.split()[:2]				) for merge in merges]
  							_snake_case			 = dict(zip(__UpperCamelCase,						range(len(__UpperCamelCase				)				)				)				)
  							_snake_case			 = {}
  
  
  
  
  
  
  					@property
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							return len(self.encoder				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							return dict(self.encoder,						**self.added_tokens_encoder				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase				):
  							if lang not in self.cache_moses_tokenizer:
  									_snake_case			 = self.sm.MosesTokenizer(lang=__UpperCamelCase				)
  									_snake_case			 = moses_tokenizer
  							return self.cache_moses_tokenizer[lang].tokenize(
  							    __UpperCamelCase,						aggressive_dash_splits=__UpperCamelCase,						return_str=__UpperCamelCase,						escape=__UpperCamelCase				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase				):
  							if lang not in self.cache_moses_detokenizer:
  									_snake_case			 = self.sm.MosesDetokenizer(lang=__UpperCamelCase				)
  									_snake_case			 = moses_detokenizer
  							return self.cache_moses_detokenizer[lang].detokenize(__UpperCamelCase				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							_snake_case			 = tuple(token[:-1]				) + (token[-1] + "</w>",)
  							if token in self.cache:
  									return self.cache[token]
  							_snake_case			 = get_pairs(__UpperCamelCase				)
  
  							if not pairs:
  									return token + "</w>"
  
  							while True:
  									_snake_case			 = min(__UpperCamelCase,						key=lambda __UpperCamelCase				: self.bpe_ranks.get(__UpperCamelCase,						float("inf"				)				)				)
  									if bigram not in self.bpe_ranks:
  											break
  									_snake_case ,					_snake_case			 = bigram
  									_snake_case			 = []
  									_snake_case			 = 0
  									while i < len(__UpperCamelCase				):
  											try:
  													_snake_case			 = word.index(__UpperCamelCase,						__UpperCamelCase				)
  											except ValueError:
  													new_word.extend(word[i:]				)
  													break
  											else:
  													new_word.extend(word[i:j]				)
  													_snake_case			 = 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
  									_snake_case			 = tuple(__UpperCamelCase				)
  									_snake_case			 = new_word
  									if len(__UpperCamelCase				) == 1:
  											break
  									else:
  											_snake_case			 = get_pairs(__UpperCamelCase				)
  							_snake_case			 = " ".join(__UpperCamelCase				)
  							if word == "\n  </w>":
  									_snake_case			 = "\n</w>"
  							_snake_case			 = word
  							return word
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase=False				):
  							if bypass_tokenizer:
  									_snake_case			 = text.split()
  							else:
  									_snake_case			 = self.moses_tokenize(__UpperCamelCase,						self.lang				)
  
  							_snake_case			 = []
  							for token in text:
  									if token:
  											split_tokens.extend(list(self.bpe(__UpperCamelCase				).split(" "				)				)				)
  
  							return split_tokens
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							return self.encoder.get(__UpperCamelCase,						self.encoder.get(self.unk_token				)				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							return self.decoder.get(__UpperCamelCase,						self.unk_token				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							_snake_case			 = [t.replace(" ",						""				).replace("</w>",						" "				) for t in tokens]
  							_snake_case			 = "".join(__UpperCamelCase				).split()
  							# detokenize
  							_snake_case			 = self.moses_detokenize(__UpperCamelCase,						self.lang				)
  							return text
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None				):
  							if token_ids_a is None:
  									return [self.sep_token_id] + token_ids_a
  							_snake_case			 = [self.sep_token_id]
  							return sep + token_ids_a + sep + token_ids_a
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None,						__UpperCamelCase = False				):
  							if already_has_special_tokens:
  									return super().get_special_tokens_mask(
  									    token_ids_a=__UpperCamelCase,						token_ids_a=__UpperCamelCase,						already_has_special_tokens=__UpperCamelCase				)
  							# no bos used in fairseq
  							if token_ids_a is not None:
  									return [1] + ([0] * len(__UpperCamelCase				)) + [1] + ([0] * len(__UpperCamelCase				))
  							return [1] + ([0] * len(__UpperCamelCase				))
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None				):
  							_snake_case			 = [self.sep_token_id]
  
  							# no bos used in fairseq
  							if token_ids_a is None:
  									return len(token_ids_a + sep				) * [0]
  							return len(token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None				):
  							if not os.path.isdir(__UpperCamelCase				):
  									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''				)
  									return
  							_snake_case			 = os.path.join(
  							    __UpperCamelCase,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]				)
  							_snake_case			 = 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"				)
  
  							_snake_case			 = 0
  							with open(__UpperCamelCase,						"w",						encoding="utf-8"				) as writer:
  									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!"				)
  													_snake_case			 = token_index
  											writer.write(" ".join(__UpperCamelCase				) + "\n"				)
  											index += 1
  
  							return vocab_file, merge_file
  
  
  
  
  
  
  					def __getstate__(					self				):
  							_snake_case			 = self.__dict__.copy()
  							_snake_case			 = None
  							return state
  
  
  
  
  
  
  					def __setstate__(					self,						__UpperCamelCase				):
  							_snake_case			 = d
  
  							try:
  									import sacremoses
  							except ImportError:
  									raise ImportError(
  									    "You need to install sacremoses to use XLMTokenizer. "
  									    "See https://pypi.org/project/sacremoses/ for installation."				)
  
  							_snake_case			 = sacremoses
  
  
  
  
  
  
style_context: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vilt import ViltImageProcessor
  
  
  _lowerCamelCase							:		Optional[Any]										=						logging.get_logger(__name__)
  
  
  
  
  
  class   lowerCamelCase_							( UpperCAmelCase_							):
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  					def __init__(					self,						*__UpperCamelCase,						**__UpperCamelCase				):
  							warnings.warn(
  							    "The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
  							    " use ViltImageProcessor instead.",						__UpperCamelCase,						)
  							super().__init__(*__UpperCamelCase,						**__UpperCamelCase				)
  
  
  
  
  
  