from dataclasses import dataclass

lowerCamelCase__   = '''0.1'''
lowerCamelCase__   = '''Lucia Harcekova'''




@dataclass
class  _UpperCAmelCase       :



 '''simple docstring'''




 __A           = 42
 __A           = 42
 __A           = 42







 def __repr__(						self							:					Optional[Any])		->     str:


   """simple docstring"""







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




class  _UpperCAmelCase       :



 '''simple docstring'''




 def __init__(						self							:					Optional[int]				,      lowercase_							:					int = 13				,      lowercase_							:					int = 6)		->     None:


   """simple docstring"""







   _UpperCamelCase				=  window_size
   _UpperCamelCase				=  lookahead_buffer_size
   _UpperCamelCase				=  self.window_size - self.lookahead_buffer_size







 def 						__UpperCAmelCase							(						self							:					Optional[Any]				,      lowercase_							:					str)		->     list[Token]:


   """simple docstring"""







   _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(lowercase_				,      lowercase_)

     # 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(lowercase_) > 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(lowercase_)

   return output







 def 						__UpperCAmelCase							(						self							:					Optional[Any]				,      lowercase_							:					list[Token])		->     str:


   """simple docstring"""







   _UpperCamelCase				=  ""

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

   return output







 def 						__UpperCAmelCase							(						self							:					Optional[int]				,      lowercase_							:					str				,      lowercase_							:					str)		->     Token:


   """simple docstring"""







   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(lowercase_				,      lowercase_				,      text[length])

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







 def 						__UpperCAmelCase							(						self							:					Any				,      lowercase_							:					str				,      lowercase_							:					str				,      lowercase_							:					int				,      lowercase_							:					int)		->     int:


   """simple docstring"""







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


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

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

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





from itertools import combinations, product


def 							lowerCAmelCase__    (       a__  ,			a__  ,			a__  ,			a__      )	->bool:




  '''simple docstring'''

  if xa == ya == 0 or xa == ya == 0:
    return False
  _UpperCamelCase				=  xa * xa + ya * ya
  _UpperCamelCase				=  xa * xa + ya * ya
  _UpperCamelCase				=  (xa - xa) * (xa - xa) + (ya - ya) * (ya - ya)
  return (
      a_square + b_square == c_square
      or a_square + c_square == b_square
      or b_square + c_square == a_square
  )


def 							lowerCAmelCase__    (       a__ = 50      )	->int:




  '''simple docstring'''

  return sum(
      1
      for pta, pta in combinations(product(range(limit + 1      )  ,			repeat=2      )  ,			2      )
      if is_right(*a__  ,			*a__      )      )


if __name__ == "__main__":
   print(F"{solution() = }")




