code: 
  
  
  
  
  
  import json
  import os
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils import PreTrainedTokenizer
  from ...utils import logging
  
  
  lowerCAmelCase_   =   logging.get_logger(__name__)
  
  lowerCAmelCase_   =   {
      "vocab_file": "vocab.json",
      "merges_file": "merges.txt",
  }
  
  lowerCAmelCase_   =   {
      "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_   =   {
      "microsoft/biogpt": 1_0_2_4,
  }
  
  
  
  
  def 						A_			(  lowercase_  )			->						Dict:
         _snake_case      :							int     				=						set()
         _snake_case      :							Any     				=						word[0]
         for char in word[1:]:
                pairs.add((prev_char, char)  )
                _snake_case      :							List[str]     				=						char
         return pairs
  
  class 				A    (__UpperCAmelCase				):
        _SCREAMING_SNAKE_CASE					=							VOCAB_FILES_NAMES
        _SCREAMING_SNAKE_CASE					=							PRETRAINED_VOCAB_FILES_MAP
        _SCREAMING_SNAKE_CASE					=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
        _SCREAMING_SNAKE_CASE					=							["""input_ids""", """attention_mask"""]
  
  
  
        def __init__(					self     ,  lowercase_     ,  lowercase_     ,  lowercase_="<unk>"     ,  lowercase_="<s>"     ,  lowercase_="</s>"     ,  lowercase_="</s>"     ,  lowercase_="<pad>"     ,  **lowercase_     ,  )      ->   Optional[int]:
  
  
  
               '''simple docstring'''
  
               super().__init__(
                   bos_token=lowercase_     ,  eos_token=lowercase_     ,  sep_token=lowercase_     ,  unk_token=lowercase_     ,  pad_token=lowercase_     ,  **lowercase_     ,  )
  
               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      :							Optional[int]     				=						'''en'''
               _snake_case      :							Optional[int]     				=						sacremoses
               # cache of sm.MosesTokenizer instance
               _snake_case      :							Optional[int]     				=						{}
               _snake_case      :							List[str]     				=						{}
               with open(lowercase_     ,  encoding='''utf-8'''					) as vocab_handle:
                      _snake_case      :							List[Any]     				=						json.load(lowercase_					)
               _snake_case      :							Dict     				=						{v: k for k, v in self.encoder.items()}
               with open(lowercase_     ,  encoding='''utf-8'''					) as merges_handle:
                      _snake_case      :							Optional[int]     				=						merges_handle.read().split('''\n'''					)[:-1]
               _snake_case      :							Optional[Any]     				=						[tuple(merge.split()[:2]					) for merge in merges]
               _snake_case      :							List[str]     				=						dict(zip(lowercase_     ,  range(len(lowercase_					)					)					)					)
               _snake_case      :							Any     				=						{}
  
  
  
        @property
        def    __a (					self					)      ->   List[Any]:
  
  
  
               '''simple docstring'''
  
               return len(self.encoder					)
  
  
  
        def    __a (					self					)      ->   str:
  
  
  
               '''simple docstring'''
  
               return dict(self.encoder     ,  **self.added_tokens_encoder					)
  
  
  
        def    __a (					self     ,  lowercase_     ,  lowercase_					)      ->   Optional[int]:
  
  
  
               '''simple docstring'''
  
               if lang not in self.cache_moses_tokenizer:
                      _snake_case      :							Union[str, Any]     				=						self.sm.MosesTokenizer(lang=lowercase_					)
                      _snake_case      :							List[Any]     				=						moses_tokenizer
               return self.cache_moses_tokenizer[lang].tokenize(
                   lowercase_     ,  aggressive_dash_splits=lowercase_     ,  return_str=lowercase_     ,  escape=lowercase_					)
  
  
  
        def    __a (					self     ,  lowercase_     ,  lowercase_					)      ->   List[Any]:
  
  
  
               '''simple docstring'''
  
               if lang not in self.cache_moses_detokenizer:
                      _snake_case      :							Dict     				=						self.sm.MosesDetokenizer(lang=lowercase_					)
                      _snake_case      :							List[Any]     				=						moses_detokenizer
               return self.cache_moses_detokenizer[lang].detokenize(lowercase_					)
  
  
  
        def    __a (					self     ,  lowercase_					)      ->   List[str]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							List[str]     				=						tuple(token[:-1]					) + (token[-1] + '''</w>''',)
               if token in self.cache:
                      return self.cache[token]
               _snake_case      :							List[Any]     				=						get_pairs(lowercase_					)
  
               if not pairs:
                      return token + "</w>"
  
               while True:
                      _snake_case      :							Union[str, Any]     				=						min(lowercase_     ,  key=lambda lowercase_					: self.bpe_ranks.get(lowercase_     ,  float('''inf'''					)					)					)
                      if bigram not in self.bpe_ranks:
                             break
                      _snake_case      :							Optional[Any]     				=						bigram
                      _snake_case      :							Tuple     				=						[]
                      _snake_case      :							str     				=						0
                      while i < len(lowercase_					):
                             try:
                                    _snake_case      :							Optional[Any]     				=						word.index(lowercase_     ,  lowercase_					)
                             except ValueError:
                                    new_word.extend(word[i:]					)
                                    break
                             else:
                                    new_word.extend(word[i:j]					)
                                    _snake_case      :							Optional[int]     				=						j
  
                             if word[i] == first and i < len(lowercase_					) - 1 and word[i + 1] == second:
                                    new_word.append(first + second					)
                                    i += 2
                             else:
                                    new_word.append(word[i]					)
                                    i += 1
                      _snake_case      :							int     				=						tuple(lowercase_					)
                      _snake_case      :							List[str]     				=						new_word
                      if len(lowercase_					) == 1:
                             break
                      else:
                             _snake_case      :							Optional[Any]     				=						get_pairs(lowercase_					)
               _snake_case      :							int     				=						''' '''.join(lowercase_					)
               if word == "\n  </w>":
                      _snake_case      :							int     				=						'''\n</w>'''
               _snake_case      :							Any     				=						word
               return word
  
  
  
        def    __a (					self     ,  lowercase_     ,  lowercase_=False					)      ->   List[Any]:
  
  
  
               '''simple docstring'''
  
               if bypass_tokenizer:
                      _snake_case      :							Dict     				=						text.split()
               else:
                      _snake_case      :							Any     				=						self.moses_tokenize(lowercase_     ,  self.lang					)
  
               _snake_case      :							Any     				=						[]
               for token in text:
                      if token:
                             split_tokens.extend(list(self.bpe(lowercase_					).split(''' '''					)					)					)
  
               return split_tokens
  
  
  
        def    __a (					self     ,  lowercase_					)      ->   str:
  
  
  
               '''simple docstring'''
  
               return self.encoder.get(lowercase_     ,  self.encoder.get(self.unk_token					)					)
  
  
  
        def    __a (					self     ,  lowercase_					)      ->   Optional[int]:
  
  
  
               '''simple docstring'''
  
               return self.decoder.get(lowercase_     ,  self.unk_token					)
  
  
  
        def    __a (					self     ,  lowercase_					)      ->   List[str]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Dict     				=						[t.replace(''' '''     ,  ''''''					).replace('''</w>'''     ,  ''' '''					) for t in tokens]
               _snake_case      :							str     				=						''''''.join(lowercase_					).split()
               # detokenize
               _snake_case      :							Union[str, Any]     				=						self.moses_detokenize(lowercase_     ,  self.lang					)
               return text
  
  
  
        def    __a (					self     ,  lowercase_     ,  lowercase_ = None					)      ->   List[int]:
  
  
  
               '''simple docstring'''
  
               if token_ids_a is None:
                      return [self.sep_token_id] + token_ids_a
               _snake_case      :							Any     				=						[self.sep_token_id]
               return sep + token_ids_a + sep + token_ids_a
  
  
  
        def    __a (					self     ,  lowercase_     ,  lowercase_ = None     ,  lowercase_ = False					)      ->   List[int]:
  
  
  
               '''simple docstring'''
  
               if already_has_special_tokens:
                      return super().get_special_tokens_mask(
                          token_ids_a=lowercase_     ,  token_ids_a=lowercase_     ,  already_has_special_tokens=lowercase_					)
               # no bos used in fairseq
               if token_ids_a is not None:
                      return [1] + ([0] * len(lowercase_					)) + [1] + ([0] * len(lowercase_					))
               return [1] + ([0] * len(lowercase_					))
  
  
  
        def    __a (					self     ,  lowercase_     ,  lowercase_ = None					)      ->   List[int]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							str     				=						[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    __a (					self     ,  lowercase_     ,  lowercase_ = None					)      ->   Tuple[str]:
  
  
  
               '''simple docstring'''
  
               if not os.path.isdir(lowercase_					):
                      logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
                      return
               _snake_case      :							Any     				=						os.path.join(
                   lowercase_     ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)
               _snake_case      :							List[str]     				=						os.path.join(
                   lowercase_     ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']					)
  
               with open(lowercase_     ,  '''w'''     ,  encoding='''utf-8'''					) as f:
                      f.write(json.dumps(self.encoder     ,  indent=2     ,  sort_keys=lowercase_     ,  ensure_ascii=lowercase_					) + '''\n'''					)
  
               _snake_case      :							Optional[Any]     				=						0
               with open(lowercase_     ,  '''w'''     ,  encoding='''utf-8'''					) as writer:
                      for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,  key=lambda lowercase_					: 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      :							List[str]     				=						token_index
                             writer.write(''' '''.join(lowercase_					) + '''\n'''					)
                             index += 1
  
               return vocab_file, merge_file
  
  
  
        def __getstate__(					self					)      ->   List[str]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							List[str]     				=						self.__dict__.copy()
               _snake_case      :							Any     				=						None
               return state
  
  
  
        def __setstate__(					self     ,  lowercase_					)      ->   List[str]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Optional[Any]     				=						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      :							Optional[int]     				=						sacremoses
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  import cva
  import numpy as np
  
  
  
  
  def 						A_			(  lowercase_      ,		lowercase_      ,		lowercase_      ,		lowercase_  )			->						int:
  
         try:
                return int(image[x_coordinate][y_coordinate] >= center  )
         except (IndexError, TypeError):
                return 0
  
  
  
  
  def 						A_			(  lowercase_      ,		lowercase_      ,		lowercase_  )			->						int:
         _snake_case      :							List[str]     				=						image[x_coordinate][y_coordinate]
         _snake_case      :							List[str]     				=						[1, 2, 4, 8, 16, 32, 64, 128]
  
         # skip get_neighbors_pixel if center is null
         if center is None:
                return 0
  
         # Starting from the top right, assigning value to pixels clockwise
         _snake_case      :							Any     				=						[
             get_neighbors_pixel(lowercase_      ,		x_coordinate - 1      ,		y_coordinate + 1      ,		lowercase_  ),
             get_neighbors_pixel(lowercase_      ,		lowercase_      ,		y_coordinate + 1      ,		lowercase_  ),
             get_neighbors_pixel(lowercase_      ,		x_coordinate - 1      ,		lowercase_      ,		lowercase_  ),
             get_neighbors_pixel(lowercase_      ,		x_coordinate + 1      ,		y_coordinate + 1      ,		lowercase_  ),
             get_neighbors_pixel(lowercase_      ,		x_coordinate + 1      ,		lowercase_      ,		lowercase_  ),
             get_neighbors_pixel(lowercase_      ,		x_coordinate + 1      ,		y_coordinate - 1      ,		lowercase_  ),
             get_neighbors_pixel(lowercase_      ,		lowercase_      ,		y_coordinate - 1      ,		lowercase_  ),
             get_neighbors_pixel(lowercase_      ,		x_coordinate - 1      ,		y_coordinate - 1      ,		lowercase_  ),
         ]
  
         # Converting the binary value to decimal.
         return sum(
             binary_value * power for binary_value, power in zip(lowercase_      ,		lowercase_  )  )
  
  
  if __name__ == "__main__":
     # Reading the image and converting it to grayscale.
     lowerCAmelCase_   =   cva.imread(
         "digital_image_processing/image_data/lena.jpg", cva.IMREAD_GRAYSCALE
     )
  
     # Create a numpy array as the same height and width of read image
     lowerCAmelCase_   =   np.zeros((image.shape[0], image.shape[1]))
  
     # Iterating through the image and calculating the
     # local binary pattern value for each pixel.
     for i in range(0, image.shape[0]):
        for j in range(0, image.shape[1]):
           lowerCAmelCase_   =   local_binary_value(image, i, j)
  
     cva.imshow("local binary pattern", lbp_image)
     cva.waitKey(0)
     cva.destroyAllWindows()
  
  
  
  
  
  
  