

from __future__ import annotations

lowercase_									=   [
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]
def      a      (			A__	:   list[list[int]]      ,   A__	:   list[int]      ,   A__	:   list[int]      ,   A__	:   int      ,   A__	:   list[list[int]]      ,   )    ->      tuple[list[list[int]], list[list[int]]]:





      """simple docstring"""



      _lowercase	       =[
          [0 for col in range(len(grid[0]     )     )] for row in range(len(A__     )     )
      ]  # the reference grid
      _lowercase	       =1
      _lowercase	       =[
          [0 for col in range(len(grid[0]     )     )] for row in range(len(A__     )     )
      ]  # the action grid

      _lowercase	       =init[0]
      _lowercase	       =init[1]
      _lowercase	       =0
      _lowercase	       =g + heuristic[x][y]  # cost from starting cell to destination cell
      _lowercase	       =[[f, g, x, y]]

      _lowercase	       =False  # flag that is set when search is complete
      _lowercase	       =False  # flag set if we can't find expand

      while not found and not resign:
            if len(A__     ) == 0:
                  raise ValueError('Algorithm is unable to find solution'     )
            else:  # to choose the least costliest action so as to move closer to the goal
                  cell.sort()
                  cell.reverse()
                  _lowercase	       =cell.pop()
                  _lowercase	       =next_cell[2]
                  _lowercase	       =next_cell[3]
                  _lowercase	       =next_cell[1]

                  if x == goal[0] and y == goal[1]:
                        _lowercase	       =True
                  else:
                        for i in range(len(A__     )     ):  # to try out different valid actions
                              _lowercase	       =x + DIRECTIONS[i][0]
                              _lowercase	       =y + DIRECTIONS[i][1]
                              if xa >= 0 and xa < len(A__     ) and ya >= 0 and ya < len(grid[0]     ):
                                    if closed[xa][ya] == 0 and grid[xa][ya] == 0:
                                          _lowercase	       =g + cost
                                          _lowercase	       =ga + heuristic[xa][ya]
                                          cell.append([fa, ga, xa, ya]     )
                                          _lowercase	       =1
                                          _lowercase	       =i
      _lowercase	       =[]
      _lowercase	       =goal[0]
      _lowercase	       =goal[1]
      invpath.append([x, y]     )  # we get the reverse path from here
      while x != init[0] or y != init[1]:
            _lowercase	       =x - DIRECTIONS[action[x][y]][0]
            _lowercase	       =y - DIRECTIONS[action[x][y]][1]
            _lowercase	       =xa
            _lowercase	       =ya
            invpath.append([x, y]     )

      _lowercase	       =[]
      for i in range(len(A__     )     ):
            path.append(invpath[len(A__     ) - 1 - i]     )
      return path, action


if __name__ == "__main__":
  lowercase_									=   [
      [0, 1, 0, 0, 0, 0],
      [0, 1, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
      [0, 1, 0, 0, 0, 0],
      [0, 1, 0, 0, 1, 0],
      [0, 0, 0, 0, 1, 0],
  ]

  lowercase_									=   [0, 0]
  # all coordinates are given in format [y,x]
  lowercase_									=   [len(grid) - 1, len(grid[0]) - 1]
  lowercase_									=   1

  # the cost map which pushes the path closer to the goal
  lowercase_									=   [[0 for row in range(len(grid[0]))] for col in range(len(grid))]
  for i in range(len(grid)):
    for j in range(len(grid[0])):
      lowercase_									=   abs(i - goal[0]) + abs(j - goal[1])
      if grid[i][j] == 1:
        # added extra penalty in the heuristic map
        lowercase_									=   9_9

  lowercase_				,						lowercase_									=   search(grid, init, goal, cost, heuristic)

  print('ACTION MAP')
  for i in range(len(action)):
    print(action[i])

  for i in range(len(path)):
    print(path[i])





import os
def      a      (			)    ->      Any:





      """simple docstring"""



      with open(os.path.dirname(A__     ) + '/p022_names.txt'     ) as file:
            _lowercase	       =str(file.readlines()[0]     )
            _lowercase	       =names.replace('"'      ,   ''     ).split(','     )

      names.sort()

      _lowercase	       =0
      _lowercase	       =0

      for i, name in enumerate(A__     ):
            for letter in name:
                  name_score += ord(A__     ) - 64

            total_score += (i + 1) * name_score
            _lowercase	       =0
      return total_score


if __name__ == "__main__":
  print(solution())


