



'''simple docstring'''



from dataclasses import dataclass

lowerCAmelCase						:		str						      = '''0.1'''
lowerCAmelCase						:		Optional[Any]						      = '''Lucia Harcekova'''






@dataclass
class        UpperCAmelCase__						:
					a   :  int
					a   :  int
					a   :  str



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






class        UpperCAmelCase__						:



					def __init__(     self      ,					UpperCamelCase = 13      ,					UpperCamelCase = 6  )  ->      None:
						__lowerCAmelCase       				=	window_size
						__lowerCAmelCase       				=	lookahead_buffer_size
						__lowerCAmelCase       				=	self.window_size - self.lookahead_buffer_size



					def 							UpperCAmelCase_			(     self      ,					UpperCamelCase  )  ->      list[Token]:
						__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(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:
								__lowerCAmelCase       				=	search_buffer[-self.search_buffer_size :]

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

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

						return output



					def 							UpperCAmelCase_			(     self      ,					UpperCamelCase  )  ->      str:
						__lowerCAmelCase       				=	""

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

						return output



					def 							UpperCAmelCase_			(     self      ,					UpperCamelCase      ,					UpperCamelCase  )  ->      Token:

						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(UpperCamelCase      ,					UpperCamelCase      ,					text[length]  )

						for i, character in enumerate(UpperCamelCase  ):
							__lowerCAmelCase       				=	len(UpperCamelCase  ) - i
							if character == text[0]:
								__lowerCAmelCase       				=	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:
									__lowerCAmelCase				,							__lowerCAmelCase       				=	found_offset, found_length

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



					def 							UpperCAmelCase_			(     self      ,					UpperCamelCase      ,					UpperCamelCase      ,					UpperCamelCase      ,					UpperCamelCase  )  ->      int:
						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[str]						      = LZaaCompressor(window_size=1_3, lookahead_buffer_size=6)

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




'''simple docstring'''



def 	__lowerCAmelCase       (				lowerCamelCase :    float					,		lowerCamelCase :    float       ):






	'''simple docstring'''




	__lowerCAmelCase       				=	float()
	try:
		__lowerCAmelCase       				=	mass * acceleration
	except Exception:
		return -0.0
	return force


if __name__ == "__main__":
	import doctest

	# run doctest
	doctest.testmod()

	# demo
	lowerCAmelCase						:		List[Any]						      = 12.5
	lowerCAmelCase						:		Optional[Any]						      = 1_0
	lowerCAmelCase						:		str						      = newtons_second_law_of_motion(mass, acceleration)
	print('''The force is ''', force, '''N''')