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''' | |
Created on Jun 3, 2017 | |
@author: john_jimenez | |
''' | |
# ---------- | |
# User Instructions: | |
# | |
# Define a function, search() that returns a list | |
# in the form of [optimal path length, row, col]. For | |
# the grid shown below, your function should output | |
# [11, 4, 5]. | |
# | |
# If there is no valid path from the start point | |
# to the goal, your function should return the string | |
# 'fail' | |
# ---------- | |
# Grid format: | |
# 0 = Navigable space | |
# 1 = Occupied space | |
grid = [[0, 1], | |
[0, 0]] | |
init = [0, 0] | |
max_x = len(grid) - 1 | |
max_y = len(grid[0]) - 1 | |
goal = [max_x, max_y] | |
cost = 1 | |
deltas = [[-1, 0], # go up | |
[ 0,-1], # go left | |
[ 1, 0], # go down | |
[ 0, 1]] # go right | |
delta_name = ['^', '<', 'v', '>'] | |
def search(grid,init,goal,cost): | |
def path(node, opens, checkeds): | |
def is_valid(xy): | |
x, y = xy | |
def in_grid(): return x >= 0 and y >= 0 and x <= max_x and y <= max_y | |
def obstacle(): return grid[x][y] | |
return in_grid() and not obstacle() and xy not in checkeds | |
def expand(delta): | |
expansion = add(xy, delta) | |
return [[g_val * cost + 1] + expansion] if is_valid(expansion) else [] | |
xy = node[1:3] | |
g_val = node[0] | |
if xy == goal: return node | |
else: | |
new_opens = reduce(lambda acc, delta: acc + expand(delta), deltas, opens) | |
if len(new_opens) == 0: return 'fail' | |
else: | |
new_checkeds = checkeds + [xy] | |
sorted_opens = sorted(new_opens) | |
return path(sorted_opens[0], sorted_opens[1:len(sorted_opens)], new_checkeds) | |
return path([0] + init, [], []) | |
def add((x1, y1), (x2, y2)): return [x1 + x2, y1 + y2] | |
print search(grid,init,goal,cost) |
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