


'''simple docstring'''







from __future__ import annotations

import sys


class 				__lowerCamelCase				:
    """simple docstring"""


    def __init__(						self    :							Union[str, Any]   ,							SCREAMING_SNAKE_CASE    :							str   ,							SCREAMING_SNAKE_CASE    :							int):
           _A  :			str											=      letter
           _A  :			int											=      freq
           _A  :			dict[str, str]											=      {}


    def __repr__(						self    :							Optional[int]):
           return F'{self.letter}:{self.freq}'




class 				__lowerCamelCase				:
    """simple docstring"""


    def __init__(						self    :							List[str]   ,							SCREAMING_SNAKE_CASE    :							int   ,							SCREAMING_SNAKE_CASE    :							Letter | TreeNode   ,							SCREAMING_SNAKE_CASE    :							Letter | TreeNode):
           _A  :			int											=      freq
           _A  :			Letter | TreeNode											=      left
           _A  :			Letter | TreeNode											=      right






def    lowerCAmelCase__ (       lowerCamelCase  :    str     ):
       _A  :			dict[str, int]											=      {}
       with open(lowerCamelCase     ) as f:
              while True:
                     _A  :			Optional[Any]											=      f.read(1     )
                     if not c:
                            break
                     _A  :			Optional[Any]											=      chars[c] + 1 if c in chars else 1
       return sorted((Letter(lowerCamelCase						,lowerCamelCase     ) for c, f in chars.items())						,key=lambda lowerCamelCase     : x.freq     )






def    lowerCAmelCase__ (       lowerCamelCase  :    list[Letter]     ):
       _A  :			list[Letter | TreeNode]											=      letters  # type: ignore
       while len(lowerCamelCase     ) > 1:
              _A  :			str											=      response.pop(0     )
              _A  :			List[Any]											=      response.pop(0     )
              _A  :			Union[str, Any]											=      left.freq + right.freq
              _A  :			Any											=      TreeNode(lowerCamelCase						,lowerCamelCase						,lowerCamelCase     )
              response.append(lowerCamelCase     )
              response.sort(key=lambda lowerCamelCase     : x.freq     )
       return response[0]






def    lowerCAmelCase__ (       lowerCamelCase  :    Letter | TreeNode						,lowerCamelCase  :    str     ):
       if isinstance(lowerCamelCase						,lowerCamelCase     ):
              _A  :			Optional[Any]											=      bitstring
              return [root]
       _A  :			TreeNode											=      root  # type: ignore
       _A  :			Tuple											=      []
       letters += traverse_tree(treenode.left						,bitstring + '0'     )
       letters += traverse_tree(treenode.right						,bitstring + '1'     )
       return letters






def    lowerCAmelCase__ (       lowerCamelCase  :    str     ):
       _A  :			Union[str, Any]											=      parse_file(lowerCamelCase     )
       _A  :			Tuple											=      build_tree(lowerCamelCase     )
       _A  :			Tuple											=      {
           k: v for letter in traverse_tree(lowerCamelCase						,''     ) for k, v in letter.bitstring.items()
       }
       print(F'Huffman Coding  of {file_path}: '     )
       with open(lowerCamelCase     ) as f:
              while True:
                     _A  :			Dict											=      f.read(1     )
                     if not c:
                            break
                     print(letters[c]						,end=' '     )
       print()


if __name__ == "__main__":
   # pass the file path to the huffman function
   huffman(sys.argv[1])










'''simple docstring'''







class 				__lowerCamelCase				:
    """simple docstring"""


    def __init__(						self    :							Optional[Any]):
           _A  :			Optional[Any]											=      [0]
           _A  :			Optional[Any]											=      0


    def      A					(						self    :							List[Any]   ,							SCREAMING_SNAKE_CASE    :							int):
           _A  :			Optional[Any]											=      self.__heap[i]
           while i // 2 > 0:
                  if self.__heap[i] > self.__heap[i // 2]:
                         _A  :			Dict											=      self.__heap[i // 2]
                         _A  :			Optional[Any]											=      temporary
                  i //= 2


    def      A					(						self    :							List[Any]   ,							SCREAMING_SNAKE_CASE    :							int):
           self.__heap.append(SCREAMING_SNAKE_CASE)
           self.__size += 1
           self.__swap_up(self.__size)


    def      A					(						self    :							int   ,							SCREAMING_SNAKE_CASE    :							int):
           while self.__size >= 2 * i:
                  if 2 * i + 1 > self.__size:
                         _A  :			Optional[int]											=      2 * i
                  else:
                         if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                                _A  :			Any											=      2 * i
                         else:
                                _A  :			Optional[Any]											=      2 * i + 1
                  _A  :			List[str]											=      self.__heap[i]
                  if self.__heap[i] < self.__heap[bigger_child]:
                         _A  :			Union[str, Any]											=      self.__heap[bigger_child]
                         _A  :			Optional[int]											=      temporary
                  _A  :			Any											=      bigger_child


    def      A					(						self    :							List[str]):
           _A  :			str											=      self.__heap[1]
           _A  :			Tuple											=      self.__heap[self.__size]
           self.__size -= 1
           self.__heap.pop()
           self.__swap_down(1)
           return max_value


    @property
    def      A					(						self    :							int):
           return self.__heap[1:]


    def __len__(						self    :							List[str]):
           return self.__size


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   # create an instance of BinaryHeap
   A   :  Dict       		=				BinaryHeap()
   binary_heap.insert(6)
   binary_heap.insert(10)
   binary_heap.insert(15)
   binary_heap.insert(12)
   # pop root(max-values because it is max heap)
   print(binary_heap.pop())  # 15
   print(binary_heap.pop())  # 12
   # get the list and size after operations
   print(binary_heap.get_list)
   print(len(binary_heap))






