In the following function, 'graph' is a 2d grid list consisting of ones, zeroes and a 'two' (of obstacles, open areas and target respectively), 'start' is the point to start the search from.
def bfs(graph, start):
fringe = [[start]]
# Special case: start == goal
if start.val == 'g':
return [start]
start.visited = True
# Calculate width and height dynamically. We assume that "graph" is dense.
width = len(graph[0])
height = len(graph)
# List of possible moves: up, down, left, right.
moves = [(-1, 0), (1, 0), (0, -1), (0, 1)]
while fringe:
# Get first path from fringe and extend it by possible moves.
path = fringe.pop(0)
#print path
node = path[-1]
pos = node.pos
# Using moves list (without all those if's with +1, -1 etc.) has huge benefit:
# moving logic is not duplicated. It will save you from many silly errors.
for move in moves:
# Check out of bounds. Note that it's the ONLY place where we check it.
if not (0 <= pos[0] + move[0] < height and 0 <= pos[1] + move[1] < width):
continue
neighbor = graph[pos[0] + move[0]][pos[1] + move[1]]
if neighbor.val == 'g':
return path + [neighbor]
elif neighbor.val == 'o' and not neighbor.visited:
neighbor.visited = True
fringe.append(path + [neighbor]) # creates copy of list
raise Exception('Path not found!')
TRANSLATE = {0: 'o', 1: 'x', 2: 'g'}
graph = [[Node(TRANSLATE[x], (i, j)) for j, x in enumerate(row)] for i, row in enumerate(graph)]
# Find path
path = bfs(graph, graph[4][4])
When I print the value of path, the following is what I get:
Path [(4, 4), (4, 5), (4, 6), (4, 7), (4, 8), (3, 8), (2, 8), (1, 8), (1, 9)]
These are x and y coordinates.
Now how do I get the coordinates as a list of seperate 'x' and 'y' coordinates?
My preferred output is
X_list=[4,4,4,4,4,3,2,1,1]
Y_list=[4,5,6,7,8,8,8,8,9]
P.S: When I check the "type of" the printed path, it is showing it as an 'instance'.
Please help me as I am stuck at this point after a lot of searches to achieve my preferred output.
I request you to enlighten me on this. Thanks a lot!!
You can transpose and map the tuples to lists or use map and itemgetter.
from operator import itemgetter
l = [(4, 4), (4, 5), (4, 6), (4, 7), (4, 8), (3, 8), (2, 8), (1, 8), (1, 9)]
a,b = map(itemgetter(0),l), map(itemgetter(1),l)
print(a,b)
a,b = map(list,zip(*l))
print(a,b)
[4, 4, 4, 4, 4, 3, 2, 1, 1] [4, 5, 6, 7, 8, 8, 8, 8, 9]
[4, 4, 4, 4, 4, 3, 2, 1, 1] [4, 5, 6, 7, 8, 8, 8, 8, 9]
You need to add iter
in your class so you can iterate over the objects:
def __iter__(self):
return iter(self.coords)
class Node():
def __init__(self, pos):
self.pos = pos
def __iter__(self):
return iter(self.pos)
l = []
for x in [(1, 5), (2, 6), (3, 7), (4, 8)]:
l.append(Node(x))
print("{}".format(list(map(list,zip(*l)))))
[[1, 2, 3, 4], [5, 6, 7, 8]]
For bfs
using a Queue would be an efficient solution: