



"""simple docstring"""




from dataclasses import dataclass

_lowerCAmelCase				:					Dict							=							"0.1"
_lowerCAmelCase				:					Union[str, Any]							=							"Lucia Harcekova"






@dataclass
class 	UpperCAmelCase_  :
      __SCREAMING_SNAKE_CASE						:   Union[str, Any]      = 4_2
      __SCREAMING_SNAKE_CASE						:   Tuple      = 4_2
      __SCREAMING_SNAKE_CASE						:   Optional[int]      = 4_2



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







class 	UpperCAmelCase_  :



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



      def 						snake_case_					(     self     :	Optional[Any]     ,	A     :	str						):
           _UpperCAmelCase			:	Optional[int]								=    []
           _UpperCAmelCase			:	List[str]								=    ''

           # 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			:	int								=    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			:	Dict								=    search_buffer[-self.search_buffer_size :]

                # update the text
                _UpperCAmelCase			:	Optional[int]								=    text[token.length + 1 :]

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

           return output



      def 						snake_case_					(     self     :	str     ,	A     :	list[Token]						):
           _UpperCAmelCase			:	Optional[int]								=    ''

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

           return output



      def 						snake_case_					(     self     :	int     ,	A     :	str     ,	A     :	str						):

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

           # Initialise result parameters to default values
           _UpperCAmelCase			:	str								=    0, 0

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

           for i, character in enumerate(A						):
                _UpperCAmelCase			:	List[str]								=    len(A						) - i
                if character == text[0]:
                     _UpperCAmelCase			:	Optional[int]								=    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			:	List[Any]								=    found_offset, found_length

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



      def 						snake_case_					(     self     :	Optional[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
 _lowerCAmelCase				:					Optional[Any]							=							LZaaCompressor(window_size=13, lookahead_buffer_size=6)

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




class        A_					:




      '''simple docstring'''


      def __init__(				self:       Tuple						,      a:       Dict=None				):
       __lowerCamelCase		:							List[Any]							=						data
       __lowerCamelCase		:							Optional[Any]							=						None




      def __repr__(				self:       Optional[int]				):
       __lowerCamelCase		:							Any							=						''
       __lowerCamelCase		:							List[Any]							=						self
       while temp:
        string_rep += F'<{temp.data}> ---> '
        __lowerCamelCase		:							Any							=						temp.next
       string_rep += "<END>"
       return string_rep



def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__						):

 # if elements_list is empty
 if not elements_list:
  raise Exception('The Elements List is empty'						)

 # Set first element as Head
 __lowerCamelCase		:							Optional[int]							=						Node(elements_list[0]						)
 __lowerCamelCase		:							List[str]							=						head
 # Loop through elements from position 1
 for data in elements_list[1:]:
  __lowerCamelCase		:							str							=						Node(SCREAMING_SNAKE_CASE__						)
  __lowerCamelCase		:							Tuple							=						current.next
 return head


lowercase_           =	[1, 3, 5, 3_2, 4_4, 1_2, 4_3]
print(F"""List: {list_data}""")
print('Creating Linked List from List.')
lowercase_           =	make_linked_list(list_data)
print('Linked List:')



print(linked_list)

