
from dataclasses import dataclass

_snake_case		  =   "0.1"
_snake_case		  =   "Lucia Harcekova"


@dataclass
class 			UpperCamelCase_				:




      '''simple docstring'''







      a		:Optional[Any]						 =      42
      a		:Optional[Any]						 =      42
      a		:Dict						 =      42







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


class 			UpperCamelCase_				:




      '''simple docstring'''







      def __init__( self					,					_UpperCAmelCase = 13					,					_UpperCAmelCase = 6):
            lowerCAmelCase_						=      window_size
            lowerCAmelCase_						=      lookahead_buffer_size
            lowerCAmelCase_						=      self.window_size - self.lookahead_buffer_size







      def lowercase__		( self					,					_UpperCAmelCase):
            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(SCREAMING_SNAKE_CASE_					,					SCREAMING_SNAKE_CASE_)

                  # 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(SCREAMING_SNAKE_CASE_) > 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(SCREAMING_SNAKE_CASE_)

            return output







      def lowercase__		( self					,					_UpperCAmelCase):
            lowerCAmelCase_						=      ''''''

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

            return output







      def lowercase__		( self					,					_UpperCAmelCase					,					_UpperCAmelCase):

            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(SCREAMING_SNAKE_CASE_					,					SCREAMING_SNAKE_CASE_					,					text[length])

            for i, character in enumerate(SCREAMING_SNAKE_CASE_):
                  lowerCAmelCase_						=      len(SCREAMING_SNAKE_CASE_) - i
                  if character == text[0]:
                        lowerCAmelCase_						=      self._match_length_from_index(SCREAMING_SNAKE_CASE_					,					SCREAMING_SNAKE_CASE_					,					0					,					SCREAMING_SNAKE_CASE_)
                        # 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(SCREAMING_SNAKE_CASE_					,					SCREAMING_SNAKE_CASE_					,					text[length])







      def lowercase__		( self					,					_UpperCAmelCase					,					_UpperCAmelCase					,					_UpperCAmelCase					,					_UpperCAmelCase):
            if not text or text[text_index] != window[window_index]:
                  return 0
            return 1 + self._match_length_from_index(
                SCREAMING_SNAKE_CASE_					,					window + text[text_index]					,					text_index + 1					,					window_index + 1)


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

 testmod()
 # Initialize compressor class
 _snake_case		  =   LZaaCompressor(window_size=13, lookahead_buffer_size=6)

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





from __future__ import annotations







class  _lowerCamelCase			:

     def __init__(  self							,       SCREAMING_SNAKE_CASE_ = 0    ):
            __snake_case						       =   value
            __snake_case						       =   None
            __snake_case						       =   None





def        __lowercase(							__snake_case				:		Node | None    ,__snake_case				:		Node | None					)       ->   Node | None:
       if treea is None:
              return treea
       if treea is None:
              return treea

       __snake_case						       =   treea.value + treea.value
       __snake_case						       =   merge_two_binary_trees(treea.left    ,treea.left					)
       __snake_case						       =   merge_two_binary_trees(treea.right    ,treea.right					)
       return treea
def        __lowercase(							__snake_case				:		Node | None					)       ->   None:
       if root:
              print(root.value					)
              print_preorder(root.left					)
              print_preorder(root.right					)


if __name__ == "__main__":
 lowerCamelCase_				:							int       =    Node(1)
 lowerCamelCase_				:							Tuple       =    Node(2)
 lowerCamelCase_				:							Tuple       =    Node(3)
 lowerCamelCase_				:							int       =    Node(4)

 lowerCamelCase_				:							Tuple       =    Node(2)
 lowerCamelCase_				:							List[Any]       =    Node(4)
 lowerCamelCase_				:							List[Any]       =    Node(6)
 lowerCamelCase_				:							Optional[Any]       =    Node(9)
 lowerCamelCase_				:							List[str]       =    Node(5)

 print("Tree1 is: ")
 print_preorder(treea)
 print("Tree2 is: ")
 print_preorder(treea)
 lowerCamelCase_				:							int       =    merge_two_binary_trees(treea, treea)
 print("Merged Tree is: ")
 print_preorder(merged_tree)
