

from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any







class   __lowercase				:
 _UpperCamelCase        =  ("""_front""", """_back""", """_len""")







 @dataclass
 class   __lowercase				:
  _UpperCamelCase        =  None
  _UpperCamelCase        =  None
  _UpperCamelCase        =  None







 class   __lowercase				:
  _UpperCamelCase        =  ("""_cur""",)
  def __init__(							self				,							A_ ) ->None:



        '''simple docstring'''





        __lowerCAmelCase :						Union[str, Any] = cur
  def __iter__(							self ) ->Deque._Iterator:



        '''simple docstring'''





        return self





  def      UpperCamelCase__  (							self ) ->Any:



        '''simple docstring'''





        if self._cur is None:
              # finished iterating
              raise StopIteration
        __lowerCAmelCase :						Tuple = self._cur.val
        __lowerCAmelCase :						Dict = self._cur.next_node

        return val



 def __init__(							self				,							A_ = None ) ->None:



       '''simple docstring'''





       __lowerCAmelCase :						Any = None
       __lowerCAmelCase :						Any = None
       __lowerCAmelCase :						int = 0

       if iterable is not None:
             # append every value to the deque
             for val in iterable:
                   self.append(A_ )
 def      UpperCamelCase__  (							self				,							A_ ) ->None:



       '''simple docstring'''





       __lowerCAmelCase :						Dict = self._Node(A_				,							A_				,							A_ )
       if self.is_empty():
             # front = back
             __lowerCAmelCase :						str = node
             __lowerCAmelCase :						Union[str, Any] = 1
       else:
             # connect nodes
             __lowerCAmelCase :						Optional[int] = node
             __lowerCAmelCase :						int = self._back
             __lowerCAmelCase :						List[str] = node  # assign new back to the new node

             self._len += 1

             # make sure there were no errors
             assert not self.is_empty(), "Error on appending value."
 def      UpperCamelCase__  (							self				,							A_ ) ->None:



       '''simple docstring'''





       __lowerCAmelCase :						Any = self._Node(A_				,							A_				,							A_ )
       if self.is_empty():
             # front = back
             __lowerCAmelCase :						str = node
             __lowerCAmelCase :						str = 1
       else:
             # connect nodes
             __lowerCAmelCase :						Any = self._front
             __lowerCAmelCase :						Optional[int] = node
             __lowerCAmelCase :						List[str] = node  # assign new front to the new node

             self._len += 1

             # make sure there were no errors
             assert not self.is_empty(), "Error on appending value."
 def      UpperCamelCase__  (							self				,							A_ ) ->None:



       '''simple docstring'''





       for val in iterable:
             self.append(A_ )
 def      UpperCamelCase__  (							self				,							A_ ) ->None:



       '''simple docstring'''





       for val in iterable:
             self.appendleft(A_ )
 def      UpperCamelCase__  (							self ) ->Any:



       '''simple docstring'''





       assert not self.is_empty(), "Deque is empty."

       __lowerCAmelCase :						List[Any] = self._back
       __lowerCAmelCase :						Optional[int] = self._back.prev_node  # set new back
       # drop the last node - python will deallocate memory automatically
       __lowerCAmelCase :						Dict = None

       self._len -= 1

       return topop.val
 def      UpperCamelCase__  (							self ) ->Any:



       '''simple docstring'''





       assert not self.is_empty(), "Deque is empty."

       __lowerCAmelCase :						Optional[Any] = self._front
       __lowerCAmelCase :						List[str] = self._front.next_node  # set new front and drop the first node
       __lowerCAmelCase :						Tuple = None

       self._len -= 1

       return topop.val
 def      UpperCamelCase__  (							self ) ->bool:



       '''simple docstring'''





       return self._front is None
 def __len__(							self ) ->int:



       '''simple docstring'''





       return self._len
 def __eq__(							self				,							A_ ) ->bool:



       '''simple docstring'''





       if not isinstance(A_				,							A_ ):
             return NotImplemented

       __lowerCAmelCase :						int = self._front
       __lowerCAmelCase :						str = other._front

       # if the length of the dequeues are not the same, they are not equal
       if len(self ) != len(A_ ):
             return False

       while me is not None and oth is not None:
             # compare every value
             if me.val != oth.val:
                   return False
             __lowerCAmelCase :						Optional[Any] = me.next_node
             __lowerCAmelCase :						Union[str, Any] = oth.next_node

       return True
 def __iter__(							self ) ->Deque._Iterator:



       '''simple docstring'''





       return Deque._Iterator(self._front )





 def __repr__(							self ) ->str:



       '''simple docstring'''





       __lowerCAmelCase :						str = []
       __lowerCAmelCase :						Dict = self._front
       while aux is not None:
             # append the values in a list to display
             values_list.append(aux.val )
             __lowerCAmelCase :						List[str] = aux.next_node

       return f"""[{", ".join(repr(A_ ) for val in values_list )}]"""


if __name__ == "__main__":
 import doctest

 doctest.testmod()





from dataclasses import dataclass

_UpperCamelCase			      =		"0.1"
_UpperCamelCase			      =		"Lucia Harcekova"







@dataclass
class   __lowercase				:
 _UpperCamelCase        =  42
 _UpperCamelCase        =  42
 _UpperCamelCase        =  42
 def __repr__(							self ) ->str:



       '''simple docstring'''





       return f"""({self.offset}, {self.length}, {self.indicator})"""







class   __lowercase				:
 def __init__(							self				,							A_ = 13				,							A_ = 6 ) ->None:



       '''simple docstring'''





       __lowerCAmelCase :						List[str] = window_size
       __lowerCAmelCase :						str = lookahead_buffer_size
       __lowerCAmelCase :						Dict = self.window_size - self.lookahead_buffer_size
 def      UpperCamelCase__  (							self				,							A_ ) ->list[Token]:



       '''simple docstring'''





       __lowerCAmelCase :						int = []
       __lowerCAmelCase :						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)
             __lowerCAmelCase :						Optional[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:
                   __lowerCAmelCase :						Dict = search_buffer[-self.search_buffer_size :]

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

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

       return output
 def      UpperCamelCase__  (							self				,							A_ ) ->str:



       '''simple docstring'''





       __lowerCAmelCase :						Optional[int] = ''''''

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

       return output
 def      UpperCamelCase__  (							self				,							A_				,							A_ ) ->Token:



       '''simple docstring'''





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

       # Initialise result parameters to default values
       __lowerCAmelCase,							__lowerCAmelCase :						Union[str, Any] = 0, 0

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

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

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





 def      UpperCamelCase__  (							self				,							A_				,							A_				,							A_				,							A_ ) ->int:



       '''simple docstring'''





       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
 _UpperCamelCase			      =		LZaaCompressor(window_size=13, lookahead_buffer_size=6)

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


