




from dataclasses import dataclass

__magic_name__     :     Tuple  							=					'''0.1'''
__magic_name__     :     Optional[Any]  							=					'''Lucia Harcekova'''





@dataclass
class 						SCREAMING_SNAKE_CASE__		:
     lowercase_   :			int
     lowercase_   :			int
     lowercase_   :			str
     def __repr__(	self  :		int	):



       """simple docstring"""
       return F"""({self.offset}, {self.length}, {self.indicator})"""





class 						SCREAMING_SNAKE_CASE__		:
     def __init__(	self  :		Dict					,	__lowerCamelCase  :		int = 13					,	__lowerCamelCase  :		int = 6	):



       """simple docstring"""
       lowerCAmelCase__								=			window_size
       lowerCAmelCase__								=			lookahead_buffer_size
       lowerCAmelCase__								=			self.window_size - self.lookahead_buffer_size
     def 					A__			(	self  :		Optional[int]					,	__lowerCamelCase  :		str	):



       """simple docstring"""
       lowerCAmelCase__								=			[]
       lowerCAmelCase__								=			''

       # 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)
         lowerCAmelCase__								=			self._find_encoding_token(_A					,	_A	)

         # 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(_A	) > self.search_buffer_size:
           lowerCAmelCase__								=			search_buffer[-self.search_buffer_size :]

         # update the text
         lowerCAmelCase__								=			text[token.length + 1 :]

         # append the token to output
         output.append(_A	)

       return output
     def 					A__			(	self  :		Tuple					,	__lowerCamelCase  :		list[Token]	):



       """simple docstring"""
       lowerCAmelCase__								=			''

       for token in tokens:
         for _ in range(token.length	):
           output += output[-token.offset]
         output += token.indicator

       return output
     def 					A__			(	self  :		Optional[int]					,	__lowerCamelCase  :		str					,	__lowerCamelCase  :		str	):



       """simple docstring"""

       if not text:
         raise ValueError('''We need some text to work with.'''	)

       # Initialise result parameters to default values
       lowerCAmelCase__								=			0, 0

       if not search_buffer:
         return Token(_A					,	_A					,	text[length]	)

       for i, character in enumerate(_A	):
         lowerCAmelCase__								=			len(_A	) - i
         if character == text[0]:
           lowerCAmelCase__								=			self._match_length_from_index(_A					,	_A					,	0					,	_A	)
           # 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:
             lowerCAmelCase__								=			found_offset, found_length

       return Token(_A					,	_A					,	text[length]	)



     def 					A__			(	self  :		str					,	__lowerCamelCase  :		str					,	__lowerCamelCase  :		str					,	__lowerCamelCase  :		int					,	__lowerCamelCase  :		int	):



       """simple docstring"""
       if not text or text[text_index] != window[window_index]:
         return 0
       return 1 + self._match_length_from_index(
           _A					,	window + text[text_index]					,	text_index + 1					,	window_index + 1	)


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      # Initialize compressor class
      __magic_name__     :     List[Any]  							=					LZaaCompressor(window_size=13, lookahead_buffer_size=6)

      # Example
      __magic_name__     :     List[str]  							=					'''cabracadabrarrarrad'''
      __magic_name__     :     Dict  							=					lzaa_compressor.compress(TEXT)
      print(lzaa_compressor.compress("""ababcbababaa"""))
      __magic_name__     :     Tuple  							=					lzaa_compressor.decompress(compressed_text)
      assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."







def 		a_       (   __lowerCAmelCase      ,   __lowerCAmelCase							):
  assert isinstance(__lowerCAmelCase      ,   __lowerCAmelCase							), F"""The input value of [set_a={set_a}] is not a set"""
  assert isinstance(__lowerCAmelCase      ,   __lowerCAmelCase							), F"""The input value of [set_b={set_b}] is not a set"""

  return {a + b for a in set_a for b in set_b}


if __name__ == "__main__":
      from doctest import testmod

      testmod()

