from dataclasses import dataclass

lowerCamelCase_				:		Tuple       						=       """0.1"""
lowerCamelCase_				:		Tuple       						=       """Lucia Harcekova"""


@dataclass
class 						a__							:
			A__				:   int
			A__				:   int
			A__				:   str



			def __repr__(						self    ) ->    Tuple:
								return f'''({self.offset}, {self.length}, {self.indicator})'''






class 						a__							:



			def __init__(						self      ,						UpperCAmelCase = 1_3      ,						UpperCAmelCase = 6    ) ->    List[Any]:
								__a							=   window_size
								__a							=   lookahead_buffer_size
								__a							=   self.window_size - self.lookahead_buffer_size



			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase    ) ->    str:
								__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(UpperCAmelCase      ,						UpperCAmelCase    )

													# 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(UpperCAmelCase    ) > 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(UpperCAmelCase    )

								return output



			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase    ) ->    Tuple:
								__a							=   ''

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

								return output



			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase      ,						UpperCAmelCase    ) ->    str:





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

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

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

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

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







			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase      ,						UpperCAmelCase      ,						UpperCAmelCase      ,						UpperCAmelCase    ) ->    Dict:





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


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

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

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











def 			lowerCamelCase_		(					lowerCAmelCase:		list			,							lowerCAmelCase:		list )->						list:
  _snake_case      : int														=		len(lowerCAmelCase )
  _snake_case      : int														=		len(lowerCAmelCase )
  _snake_case      : int														=		(
      first_input_list_length
      if first_input_list_length > second_input_list_length
      else second_input_list_length
  )
  _snake_case      : list														=		[]
  for char_count in range(lowerCAmelCase ):
    if char_count < first_input_list_length:
      output_result_list.append(first_input_list[char_count] )
    if char_count < second_input_list_length:
      output_result_list.append(second_input_list[char_count] )

  return output_result_list


if __name__ == "__main__":
      print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)




