def file_inp():
grid = []
f = open(raw_input("Name of the file to be loaded : "),'r')
for line in f:
grid.append([])
line = line.strip('\n')
for text in line:
if text is '0':
grid[-1].append(0)
continue
grid[-1].append(text)
display(grid)
if raw_input("\nPlease confirm layout (Y/N):") is 'y':
max_depth = raw_input("\nThe grid must be solved in how many moves ? : ")
rationalise.gravity(grid)
return grid
file_inp()
def file_inp():
grid = []
f = open(raw_input("Name of the file to be loaded : "), 'r')
for line in f:
grid.append([])
line = line.strip('\n')
for text in line:
if text is '0':
grid[-1].append(0)
continue
grid[-1].append(text)
display(grid)
if raw_input("\nPlease confirm layout (Y/N):") is 'y':
max_depth = raw_input(
"\nThe grid must be solved in how many moves ? : ")
rationalise.gravity(grid)
return grid
file_inp()
def permutate(grid,depth):
depth+=1
moves = [((a,b),(a+1,b)) for a in range(8) for b in range(7)]
moves.extend([((a,b),(a,b+1)) for a in range(9) for b in range(6)])
tmp_grid = []
for move in moves:
exp_grid = copy.deepcopy(grid)
c = exp_grid[move[0][0]][move[0][1]]
exp_grid[move[0][0]][move[0][1]] = exp_grid[move[1][0]][move[1][1]]
exp_grid[move[1][0]][move[1][1]] = c
while tmp_grid!=exp_grid:
tmp_grid = copy.deepcopy(exp_grid)
rationalise.gravity(exp_grid)
rationalise.blow(exp_grid)
if check_solved(exp_grid) is True:
return move
else:
solution = [move]
solution.extend(permutate(exp_grid,depth+1))
return solution
if depth is max_depth:
return False
def get_grid():
global max_depth
grid = []
print "Inflating Grid..."
for a in range(9):
grid.append([])
for b in range(7):
grid[a].append(0)
print "\nDO NOT USE '0'(zero) !!!"
for a in range(9):
print
for b in range(7):
c = raw_input("Enter value for row {0}, column {1} :".format(a+1, b+1))
if c=='':
grid[a][b] = 0
else:
grid[a][b] = c
max_depth = raw_input("\nThe grid must be solved in how many moves ? : ")
print
rationalise.gravity(grid)
return grid
def permutate(grid, depth):
depth += 1
moves = [((a, b), (a + 1, b)) for a in range(8) for b in range(7)]
moves.extend([((a, b), (a, b + 1)) for a in range(9) for b in range(6)])
tmp_grid = []
for move in moves:
exp_grid = copy.deepcopy(grid)
c = exp_grid[move[0][0]][move[0][1]]
exp_grid[move[0][0]][move[0][1]] = exp_grid[move[1][0]][move[1][1]]
exp_grid[move[1][0]][move[1][1]] = c
while tmp_grid != exp_grid:
tmp_grid = copy.deepcopy(exp_grid)
rationalise.gravity(exp_grid)
rationalise.blow(exp_grid)
if check_solved(exp_grid) is True:
return move
else:
solution = [move]
solution.extend(permutate(exp_grid, depth + 1))
return solution
if depth is max_depth:
return False
def get_grid():
global max_depth
grid = []
print "Inflating Grid..."
for a in range(9):
grid.append([])
for b in range(7):
grid[a].append(0)
print "\nDO NOT USE '0'(zero) !!!"
for a in range(9):
print
for b in range(7):
c = raw_input("Enter value for row {0}, column {1} :".format(
a + 1, b + 1))
if c == '':
grid[a][b] = 0
else:
grid[a][b] = c
max_depth = raw_input("\nThe grid must be solved in how many moves ? : ")
print
rationalise.gravity(grid)
return grid
