Reputation: 3052
There is a robot at the top-left corner of an N*M grid. The robot can move up, down, left and right, but cannot visit the same cell more than once in each traversal. How do I find the total number of ways the robot can reach the bottom-right corner?
(the robot does not need to visit every cell for a path to be valid)
I think there is a recursive solution to this but I can't get it somehow.
Here's what I've got so far:
def initialize(row, cols):
grid = [ [ 0 for c in range(cols) ] for r in range(rows) ]
pos_r, pos_c = 0, 0
grid[pos_r][pos_c] = 1 # set start cell as visited
dst_x, dst_y = len(grid)-1, len(grid[0])-1 # coords of bottom-right corner
print move_robot(grid, dst_x, dst_y, pos_r, pos_c)
def move_robot(grid, dst_x, dst_y, pos_r, pos_c, prev_r=None, prev_c=None):
num_ways = 0
if reached_dst(dst_x, dst_y, pos_r, pos_c):
undo_move(grid, pos_r, pos_c)
undo_move(grid, prev_r, prev_c)
return 1
else:
moves = get_moves(grid, pos_r, pos_c)
if len(moves) == 0:
undo_move(grid, prev_r, prev_c)
return 0
for move in moves:
prev_r = pos_r
prev_c = pos_c
pos_r = move[0]
pos_c = move[1]
update_grid(grid, pos_r, pos_c)
num_ways += move_robot(grid, dst_x, dst_y, pos_r, pos_c, prev_r, prev_c)
return num_ways
if __name__ == '__main__':
initialize(4, 4)
I left out some function definitions for brevity. Get_moves retrieves the all legal moves, checking whether each move would still be on the board and whether the cell has already been visited. Update_grid sets the specified cell to '1', which means visited. Undo_move does the opposite, setting the specified cell to '0'.
I get the right answer for the simplest possible case (2*2 grid), but for larger grids the output is always too low. What's wrong with my code, and is there a simpler way of doing this?
Upvotes: 4
Views: 4127
Reputation: 53525
The recursion is pretty straight forward but one should be careful to create copies of the matrix while recursing in order to receive good results:
from copy import copy, deepcopy
def calc(i, j, mat):
if i < 0 or j < 0 or i >= len(mat) or j >= len(mat[0]):
return 0 # out of borders
elif mat[i][j] == 1:
return 0 # this cell has already been visited
elif i == len(mat)-1 and j == len(mat[0])-1:
return 1 # reached destination (last cell)
else:
mat[i][j] = 1 # mark as visited
# create copies of the matrix for the recursion calls
m1 = deepcopy(mat)
m2 = deepcopy(mat)
m3 = deepcopy(mat)
m4 = deepcopy(mat)
# return the sum of results of the calls to the cells:
# down + up + right + left
return calc(i+1, j, m1) + calc(i-1, j, m2) + calc(i, j+1, m3) + calc(i, j-1, m4)
def do_the_robot_thing(m, n):
# an un-visited cell will be marked with "0"
mat = [[0]*n for x in xrange(m)]
return calc(0, 0, mat)
print(do_the_robot_thing(3, 3))
OUTPUT:
12
Upvotes: 4