





'''simple docstring'''
from dataclasses import dataclass

a__							:							str			='''0.1'''
a__							:							List[str]			='''Lucia Harcekova'''

@dataclass
class 					snake_case					:




 """simple docstring"""



 SCREAMING_SNAKE_CASE_     : int
 SCREAMING_SNAKE_CASE_     : int
 SCREAMING_SNAKE_CASE_     : str






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






class 					snake_case					:




 """simple docstring"""



 def __init__(	self	:							Union[str, Any]							,     __A	:							int = 1_3							,     __A	:							int = 6     ):
        __UpperCamelCase	=  window_size
        __UpperCamelCase	=  lookahead_buffer_size
        __UpperCamelCase	=  self.window_size - self.lookahead_buffer_size






 def 	_lowerCamelCase (	self	:							Union[str, Any]							,     __A	:							str     ):
        __UpperCamelCase	=  []
        __UpperCamelCase	=  ''

        # 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	=  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:
                      __UpperCamelCase	=  search_buffer[-self.search_buffer_size :]

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

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

        return output






 def 	_lowerCamelCase (	self	:							Union[str, Any]							,     __A	:							list[Token]     ):
        __UpperCamelCase	=  ''

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

        return output






 def 	_lowerCamelCase (	self	:							Any							,     __A	:							str							,     __A	:							str     ):

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

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

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

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

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






 def 	_lowerCamelCase (	self	:							Any							,     __A	:							str							,     __A	:							str							,     __A	:							int							,     __A	:							int     ):
        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
    a__							:							List[Any]			=LZaaCompressor(window_size=13, lookahead_buffer_size=6)

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







'''simple docstring'''
def     lowercase__       (       __lowercase						:  str    ,  __lowercase						:  Tuple					)			->				str:



       """simple docstring"""






       sequence.append(__lowercase					)

       __UpperCamelCase	=  0
       while sequence[index] != target:
              index += 1

       sequence.pop()

       if index == len(__lowercase					):
              return None

       return index


if __name__ == "__main__":
    a__							:							Any			=input('''Enter numbers separated by comma:\n''').strip()
    a__							:							Any			=[int(item) for item in user_input.split(''',''')]

    a__							:							Tuple			=input('''Enter a single number to be found in the list:\n''')
    a__							:							List[Any]			=int(target_input)
    a__							:							List[Any]			=sentinel_linear_search(sequence, target)
    if result is not None:
        print(f'{target} found at positions: {result}')
    else:
        print('''Not found''')
