




"""simple docstring"""







from dataclasses import dataclass

a								=							'0.1'
a								=							'Lucia Harcekova'






@dataclass
class  SCREAMING_SNAKE_CASE__   :
						_a        =  42
						_a        =  42
						_a        =  42


						def __repr__(							self			:     List[Any]   ):
										return f'''({self.offset}, {self.length}, {self.indicator})'''






class  SCREAMING_SNAKE_CASE__   :


						def __init__(							self			:     List[Any]  ,  lowerCAmelCase			:     int = 13  ,  lowerCAmelCase			:     int = 6   ):
										lowerCAmelCase		=			window_size
										lowerCAmelCase		=			lookahead_buffer_size
										lowerCAmelCase		=			self.window_size - self.lookahead_buffer_size


						def 					__lowercase	(							self			:     Optional[Any]  ,  lowerCAmelCase			:     str   ):
										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(lowerCAmelCase  ,  lowerCAmelCase   )

														# 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(lowerCAmelCase   ) > 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(lowerCAmelCase   )

										return output


						def 					__lowercase	(							self			:     Optional[int]  ,  lowerCAmelCase			:     list[Token]   ):
										lowerCAmelCase		=			""""""

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

										return output


						def 					__lowercase	(							self			:     List[str]  ,  lowerCAmelCase			:     str  ,  lowerCAmelCase			:     str   ):

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

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

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

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

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




						def 					__lowercase	(							self			:     int  ,  lowerCAmelCase			:     str  ,  lowerCAmelCase			:     str  ,  lowerCAmelCase			:     int  ,  lowerCAmelCase			:     int   ):
										if not text or text[text_index] != window[window_index]:
														return 0
										return 1 + self._match_length_from_index(
										    lowerCAmelCase  ,  window + text[text_index]  ,  text_index + 1  ,  window_index + 1   )


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

		testmod()
		# Initialize compressor class
		a								=							LZaaCompressor(window_size=1_3, lookahead_buffer_size=6)

		# Example
		a								=							'cabracadabrarrarrad'
		a								=							lzaa_compressor.compress(TEXT)
		print(lzaa_compressor.compress('ababcbababaa'))
		a								=							lzaa_compressor.decompress(compressed_text)
		assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."











"""simple docstring"""







def 							lowercase   (snake_case__				:	list	)       ->					bool:


				'''simple docstring'''






				if not isinstance(snake_case__ ,    snake_case__	):
								raise ValueError("""Input series is not valid, valid series - [1, 2/3, 2]"""	)
				if len(snake_case__	) == 0:
								raise ValueError("""Input list must be a non empty list"""	)
				if len(snake_case__	) == 1 and series[0] != 0:
								return True
				lowerCAmelCase		=			[]
				lowerCAmelCase		=			len(snake_case__	)
				for i in range(0 ,    snake_case__	):
								if series[i] == 0:
												raise ValueError("""Input series cannot have 0 as an element"""	)
								rec_series.append(1 / series[i]	)
				lowerCAmelCase		=			rec_series[1] - rec_series[0]
				for index in range(2 ,    snake_case__	):
								if rec_series[index] - rec_series[index - 1] != common_diff:
												return False
				return True





def 							lowercase   (snake_case__				:	list	)       ->					float:


				'''simple docstring'''






				if not isinstance(snake_case__ ,    snake_case__	):
								raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""	)
				if len(snake_case__	) == 0:
								raise ValueError("""Input list must be a non empty list"""	)
				lowerCAmelCase		=			0
				for val in series:
								answer += 1 / val
				return len(snake_case__	) / answer


if __name__ == "__main__":
		import doctest

		doctest.testmod()





