




'''simple docstring'''


from __future__ import annotations

UpperCAmelCase_ 		=      list[tuple[int, int]]

UpperCAmelCase_ 		=      [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

UpperCAmelCase_ 		=      ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right





class    __lowercase						:







   def __init__(	self      ,							UpperCamelCase      ,							UpperCamelCase      ,							UpperCamelCase      ,							UpperCamelCase      ,							UpperCamelCase      ,							UpperCamelCase      ,							)				->    Optional[int]:
     __a			=					pos_x
     __a			=					pos_y
     __a			=					(pos_y, pos_x)
     __a			=					goal_x
     __a			=					goal_y
     __a			=					g_cost
     __a			=					parent
     __a			=					self.calculate_heuristic()







   def 		UpperCamelCase__			(	self      )				->    float:
     __a			=					abs(self.pos_x - self.goal_x      )
     __a			=					abs(self.pos_y - self.goal_y      )
     return dx + dy







   def __lt__(	self      ,							UpperCamelCase      )				->    bool:
     return self.f_cost < other.f_cost





class    __lowercase						:







   def __init__(	self      ,							UpperCamelCase      ,							UpperCamelCase      )				->    str:
     __a			=					Node(start[1]      ,							start[0]      ,							goal[1]      ,							goal[0]      ,							0      ,							UpperCamelCase      )
     __a			=					Node(goal[1]      ,							goal[0]      ,							goal[1]      ,							goal[0]      ,							9_9999      ,							UpperCamelCase      )

     __a			=					[self.start]
     __a			=					[]

     __a			=					False







   def 		UpperCamelCase__			(	self      )				->    Path | None:
     while self.open_nodes:
       # Open Nodes are sorted using __lt__
       self.open_nodes.sort()
       __a			=					self.open_nodes.pop(0      )

       if current_node.pos == self.target.pos:
         __a			=					True
         return self.retrace_path(UpperCamelCase      )

       self.closed_nodes.append(UpperCamelCase      )
       __a			=					self.get_successors(UpperCamelCase      )

       for child_node in successors:
         if child_node in self.closed_nodes:
           continue

         if child_node not in self.open_nodes:
           self.open_nodes.append(UpperCamelCase      )
         else:
           # retrieve the best current path
           __a			=					self.open_nodes.pop(self.open_nodes.index(UpperCamelCase      )      )

           if child_node.g_cost < better_node.g_cost:
             self.open_nodes.append(UpperCamelCase      )
           else:
             self.open_nodes.append(UpperCamelCase      )

     if not self.reached:
       return [self.start.pos]
     return None







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    list[Node]:
     __a			=					[]
     for action in delta:
       __a			=					parent.pos_x + action[1]
       __a			=					parent.pos_y + action[0]

       if not (0 <= pos_x <= len(grid[0]      ) - 1 and 0 <= pos_y <= len(UpperCamelCase      ) - 1):
         continue

       if grid[pos_y][pos_x] != 0:
         continue

       successors.append(
           Node(
               UpperCamelCase      ,							UpperCamelCase      ,							self.target.pos_y      ,							self.target.pos_x      ,							parent.g_cost + 1      ,							UpperCamelCase      ,							)      )
     return successors







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    Path:
     __a			=					node
     __a			=					[]
     while current_node is not None:
       path.append((current_node.pos_y, current_node.pos_x)      )
       __a			=					current_node.parent
     path.reverse()
     return path


if __name__ == "__main__":
  UpperCAmelCase_ 		=      (0, 0)
  UpperCAmelCase_ 		=      (len(grid) - 1, len(grid[0]) - 1)
  for elem in grid:
    print(elem)

  print("------")

  UpperCAmelCase_ 		=      GreedyBestFirst(init, goal)
  UpperCAmelCase_ 		=      greedy_bf.search()
  if path:
    for pos_x, pos_y in path:
      UpperCAmelCase_ 		=      2

    for elem in grid:
      print(elem)









'''simple docstring'''


def 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  __a			=					''
  for ch in key:
    if ch == " " or ch not in key_no_dups and ch.isalpha():
      key_no_dups += ch
  return key_no_dups


def 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  __a			=					[chr(i + 65			) for i in range(26			)]
  # Remove duplicate characters from key
  __a			=					remove_duplicates(key.upper()			)
  __a			=					len(a_			)
  # First fill cipher with key characters
  __a			=					{alphabet[i]: char for i, char in enumerate(a_			)}
  # Then map remaining characters in alphabet to
  # the alphabet from the beginning
  for i in range(len(a_			)				,					26			):
    __a			=					alphabet[i - offset]
    # Ensure we are not mapping letters to letters previously mapped
    while char in key:
      offset -= 1
      __a			=					alphabet[i - offset]
    __a			=					char
  return cipher_alphabet


def 						SCREAMING_SNAKE_CASE       (      a_	:							str				,					a_	:							dict[str, str]			):
  return "".join(cipher_map.get(a_				,					a_			) for ch in message.upper()			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							str				,					a_	:							dict[str, str]			):
  __a			=					{v: k for k, v in cipher_map.items()}
  return "".join(rev_cipher_map.get(a_				,					a_			) for ch in message.upper()			)


def 						SCREAMING_SNAKE_CASE       (      ):
  __a			=					input('Enter message to encode or decode: '			).strip()
  __a			=					input('Enter keyword: '			).strip()
  __a			=					input('Encipher or decipher? E/D:'			).strip()[0].lower()
  try:
    __a			=					{'e': encipher, 'd': decipher}[option]
  except KeyError:
    raise KeyError('invalid input option'			)
  __a			=					create_cipher_map(a_			)
  print(func(a_				,					a_			)			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()



