code: 
  
  
  
  from dataclasses import dataclass
  
  lowerCAmelCase__	:  Tuple 		='''0.1'''
  lowerCAmelCase__	:  str 		='''Lucia Harcekova'''
  
  @dataclass
  class      UpperCAmelCase_						:
  
  						'''simple docstring'''
  
  
  
  
  						UpperCamelCase__    :				int
  						UpperCamelCase__    :				int
  						UpperCamelCase__    :				str
  
  
  
  
  
  
  						def __repr__(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													return f"""({self.offset}, {self.length}, {self.indicator})"""
  
  
  
  
  
  
  
  class      UpperCAmelCase_						:
  
  						'''simple docstring'''
  
  
  
  
  						def __init__(					self   ,							_A = 13   ,							_A = 6	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      window_size
  													__SCREAMING_SNAKE_CASE								=      lookahead_buffer_size
  													__SCREAMING_SNAKE_CASE								=      self.window_size - self.lookahead_buffer_size
  
  
  
  
  
  
  						def  _A			(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      []
  													__SCREAMING_SNAKE_CASE								=      ''
  
  													# 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)
  																				__SCREAMING_SNAKE_CASE								=      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:
  																											__SCREAMING_SNAKE_CASE								=      search_buffer[-self.search_buffer_size :]
  
  																				# update the text
  																				__SCREAMING_SNAKE_CASE								=      text[token.length + 1 :]
  
  																				# append the token to output
  																				output.append(_A	)
  
  													return output
  
  
  
  
  
  
  						def  _A			(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      ''
  
  													for token in tokens:
  																				for _ in range(token.length	):
  																											output += output[-token.offset]
  																				output += token.indicator
  
  													return output
  
  
  
  
  
  
  						def  _A			(					self   ,							_A   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													if not text:
  																				raise ValueError('We need some text to work with.'	)
  
  													# Initialise result parameters to default values
  													__SCREAMING_SNAKE_CASE							, __SCREAMING_SNAKE_CASE								=      0, 0
  
  													if not search_buffer:
  																				return Token(_A   ,							_A   ,							text[length]	)
  
  													for i, character in enumerate(_A	):
  																				__SCREAMING_SNAKE_CASE								=      len(_A	) - i
  																				if character == text[0]:
  																											__SCREAMING_SNAKE_CASE								=      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:
  																																		__SCREAMING_SNAKE_CASE							, __SCREAMING_SNAKE_CASE								=      found_offset, found_length
  
  													return Token(_A   ,							_A   ,							text[length]	)
  
  
  
  
  
  
  						def  _A			(					self   ,							_A   ,							_A   ,							_A   ,							_A	):
  
  
  
  
  
  
  
  													'''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
  			lowerCAmelCase__	:  List[str] 		=LZaaCompressor(window_size=13, lookahead_buffer_size=6)
  
  			# Example
  			lowerCAmelCase__	:  List[str] 		='''cabracadabrarrarrad'''
  			lowerCAmelCase__	:  int 		=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: 
  
  
  
  from __future__ import annotations
  
  class      UpperCAmelCase_						:
  
  						'''simple docstring'''
  
  
  
  
  						def __init__(					self   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      value
  													__SCREAMING_SNAKE_CASE								=      None
  													__SCREAMING_SNAKE_CASE								=      None
  
  
  
  
  
  
  
  class      UpperCAmelCase_						:
  
  						'''simple docstring'''
  
  
  
  
  						UpperCamelCase__    :				int
  
  
  
  
  
  
  						def __init__(					self	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													__SCREAMING_SNAKE_CASE								=      0
  
  
  
  
  
  
  						def  _A			(					self   ,							_A   ,							_A	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													if node is None:
  																				return
  
  													if path_sum == self.target:
  																				self.paths += 1
  
  													if node.left:
  																				self.depth_first_search(node.left   ,							path_sum + node.left.value	)
  													if node.right:
  																				self.depth_first_search(node.right   ,							path_sum + node.right.value	)
  
  
  
  
  
  
  						def  _A			(					self   ,							_A   ,							_A = None	):
  
  
  
  
  
  
  
  													'''simple docstring'''
  
  													if node is None:
  																				return 0
  													if target is not None:
  																				__SCREAMING_SNAKE_CASE								=      target
  
  													self.depth_first_search(_A   ,							node.value	)
  													self.path_sum(node.left	)
  													self.path_sum(node.right	)
  
  													return self.paths
  
  
  if __name__ == "__main__":
  			import doctest
  
  			doctest.testmod()
  
  
  
  
  
  
  