




from dataclasses import dataclass

__a							= '0.1'
__a							= 'Lucia Harcekova'

@dataclass
class   __a:






    """simple docstring"""





    lowerCAmelCase  			=      42
    lowerCAmelCase  			=      42
    lowerCAmelCase  			=      42





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


class   __a:






    """simple docstring"""





    def __init__(      self   ,_SCREAMING_SNAKE_CASE = 13   ,_SCREAMING_SNAKE_CASE = 6  ) ->		Optional[Any]:
         UpperCAmelCase_			:							Any   =			window_size
         UpperCAmelCase_			:							Union[str, Any]   =			lookahead_buffer_size
         UpperCAmelCase_			:							List[Any]   =			self.window_size - self.lookahead_buffer_size





    def 							a__      (      self   ,_SCREAMING_SNAKE_CASE  ) ->		Tuple:
         UpperCAmelCase_			:							Union[str, Any]   =			[]
         UpperCAmelCase_			:							Optional[Any]   =			''''''

         # 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)
              UpperCAmelCase_			:							List[Any]   =			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:
                   UpperCAmelCase_			:							str   =			search_buffer[-self.search_buffer_size :]

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

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

         return output





    def 							a__      (      self   ,_SCREAMING_SNAKE_CASE  ) ->		List[str]:
         UpperCAmelCase_			:							Dict   =			''''''

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

         return output





    def 							a__      (      self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE  ) ->		Tuple:

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

         # Initialise result parameters to default values
         UpperCAmelCase_,    UpperCAmelCase_			:							Dict   =			0, 0

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

         for i, character in enumerate(__UpperCamelCase  ):
              UpperCAmelCase_			:							int   =			len(__UpperCamelCase  ) - i
              if character == text[0]:
                   UpperCAmelCase_			:							str   =			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:
                        UpperCAmelCase_,    UpperCAmelCase_			:							str   =			found_offset, found_length

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





    def 							a__      (      self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE  ) ->		Optional[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
     __a							= LZaaCompressor(window_size=13, 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'''







from functools import lru_cache






@lru_cache
def 		_lowercase		(	lowercase_  ):



		'''simple docstring'''







		if not isinstance(lowercase_						,							lowercase_  ):
				raise TypeError("k must be an integer."  )
		if k < 0:
				raise ValueError("k integer must be greater or equal to zero."  )
		if k == 0:
				return 0
		elif k == 1:
				return 1
		else:
				return fibonacci(k - 1  ) + fibonacci(k - 2  )






def 		_lowercase		(	lowercase_						,							lowercase_  ):



		'''simple docstring'''







		_snake_case	       =       len(lowercase_  )
		# Find m such that F_m >= n where F_i is the i_th fibonacci number.
		_snake_case	       =       0
		while True:
				if fibonacci(lowercase_  ) >= len_list:
						_snake_case	       =       i
						break
				i += 1
		_snake_case	       =       0
		while fibb_k > 0:
				_snake_case	       =       min(
				    offset + fibonacci(fibb_k - 1  )						,							len_list - 1  )  # Prevent out of range
				_snake_case	       =       arr[index_k]
				if item_k_1 == val:
						return index_k
				elif val < item_k_1:
						fibb_k -= 1
				elif val > item_k_1:
						offset += fibonacci(fibb_k - 1  )
						fibb_k -= 2
		else:
				return -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()





