code: 
  
  
  
  
  
  '''simple docstring'''
  
  from dataclasses import dataclass
  
  __lowerCAmelCase							:			Tuple				="0.1"
  __lowerCAmelCase							:			Tuple				="Lucia Harcekova"
  
  
  
  
  
  
  @dataclass
  class      UpperCAmelCase			:
   __lowercase     	=       42
   __lowercase     	=       42
   __lowercase     	=       42
   def __repr__(       self   :Optional[int]							)->							str:
       return F"({self.offset}, {self.length}, {self.indicator})"
  
  
  
  
  
  
  class      UpperCAmelCase			:
   def __init__(       self   :List[str]		, lowercase_   :int = 13		, lowercase_   :int = 6							)->							None:
       A__       =    window_size
       A__       =    lookahead_buffer_size
       A__       =    self.window_size - self.lookahead_buffer_size
   def   UpperCAmelCase_							(       self   :List[Any]		, lowercase_   :str							)->							list[Token]:
       A__       =    []
       A__       =    ""
  
       # while there are still characters in text to compress
       while text:
           # find the next encoding phrase
           # - triplet with offset, length, indicator (the next encoding character)
           A__       =    self._find_encoding_token(lowercase_		, lowercase_							)
  
           # update the search buffer:
           # - add new characters from text into it
           # - check if size exceed the max search buffer size, if so, drop the
           #   oldest elements
           search_buffer += text[: token.length + 1]
           if len(lowercase_							) > self.search_buffer_size:
               A__       =    search_buffer[-self.search_buffer_size :]
  
           # update the text
           A__       =    text[token.length + 1 :]
  
           # append the token to output
           output.append(lowercase_							)
  
       return output
   def   UpperCAmelCase_							(       self   :List[Any]		, lowercase_   :list[Token]							)->							str:
       A__       =    ""
  
       for token in tokens:
           for _ in range(token.length							):
               output += output[-token.offset]
           output += token.indicator
  
       return output
   def   UpperCAmelCase_							(       self   :Any		, lowercase_   :str		, lowercase_   :str							)->							Token:
  
       if not text:
           raise ValueError("We need some text to work with."							)
  
       # Initialise result parameters to default values
       A__,			A__       =    0, 0
  
       if not search_buffer:
           return Token(lowercase_		, lowercase_		, text[length]							)
  
       for i, character in enumerate(lowercase_							):
           A__       =    len(lowercase_							) - i
           if character == text[0]:
               A__       =    self._match_length_from_index(lowercase_		, lowercase_		, 0		, lowercase_							)
               # if the found length is bigger than the current or if it's equal,
               # which means it's offset is smaller: update offset and length
               if found_length >= length:
                   A__,			A__       =    found_offset, found_length
  
       return Token(lowercase_		, lowercase_		, text[length]							)
  
  
  
   def   UpperCAmelCase_							(       self   :Any		, lowercase_   :str		, lowercase_   :str		, lowercase_   :int		, lowercase_   :int							)->							int:
       if not text or text[text_index] != window[window_index]:
           return 0
       return 1 + self._match_length_from_index(
           lowercase_		, window + text[text_index]		, text_index + 1		, window_index + 1							)
  
  
  if __name__ == "__main__":
    from doctest import testmod
  
    testmod()
    # Initialize compressor class
    __lowerCAmelCase							:			Dict				=LZaaCompressor(window_size=13, lookahead_buffer_size=6)
  
    # Example
    __lowerCAmelCase							:			Tuple				="cabracadabrarrarrad"
    __lowerCAmelCase							:			Union[str, Any]				=lzaa_compressor.compress(TEXT)
    print(lzaa_compressor.compress("ababcbababaa"))
    __lowerCAmelCase							:			Any				=lzaa_compressor.decompress(compressed_text)
    assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vilt import ViltImageProcessor
  
  
  __lowerCAmelCase							:			Dict				=logging.get_logger(__name__)
  
  
  
  
  
  
  class      UpperCAmelCase			( UpperCamelCase__       ):
   def __init__(       self   :List[str]		, *lowercase_   :Dict		, **lowercase_   :int							)->							None:
       warnings.warn(
           "The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use ViltImageProcessor instead."		, lowercase_		, )
       super().__init__(*lowercase_		, **lowercase_							)
  
  
  
  