def lookForPath(self):
# this genertate the ques then asignes the first node to it
holdStart = self.currentBoard.getStart()
currentCanidate = None
openlist = PriorityQueue()
closedList = PriorityQueue()
closedListTraker = 1
# deal with a generation problem where if the algorithym is called more then once it rembers previouse calls
if (openlist.checkSize() > 1):
openlist.clear()
closedList.clear()
openlist.push(holdStart, 1)
#this is where the algorithym will atempt to find the correct path
while openlist.checkSize() > 0:
if currentCanidate != None:
# tracls the closed list so it can determine if a object was used by it and for display purposes latter on
closedList.push(currentCanidate, closedListTraker)
closedListTraker = closedListTraker + 1
currentCanidate = openlist.pull()
# reached goal returns list of positiosn to be converted into visual elements
if (self.currentBoard.getGoal().getY() == currentCanidate.getY()
) and (self.currentBoard.getGoal().getX()
== currentCanidate.getX()):
finalPath = []
finalPath.append(self.currentBoard.getGoal())
holdParent = self.currentBoard.getPosition(
self.currentBoard.getGoal()).getParents()
while (holdParent != None):
finalPath.append(holdParent)
holdParent = self.currentBoard.getPosition(
holdParent).getParents()
finalPath.append(self.currentBoard.getStart())
return finalPath
# adding new neighbour nodes to que
else:
hold = self.currentBoard.getNodesNeighbours(currentCanidate)
for i in range(len(hold)):
if (openlist.checkIfInQueue(hold[i]) == False
and closedList.checkIfInQueue(hold[i]) == False):
self.currentBoard.getPosition(
hold[i]).setCarryOverWeight(
self.currentBoard.getPosition(
currentCanidate).getWeightAndCarryOver())
self.currentBoard.getPosition(
hold[i]).setParent(currentCanidate)
weightToBeUsed = self.currentBoard.getPosition(
hold[i]).getDisPlusWeight()
openlist.push(hold[i], weightToBeUsed)
def PriorityQueueUnitTest():
#test enqueue and dequeue
UnitTest.resetErrorCount()
q = PriorityQueue()
UnitTest.assertTrue("q.isEmpty() -> " + str(q.isEmpty()), q.isEmpty())
q.enqueue(1, 2)
q.enqueue(2, 3)
UnitTest.assertFalse("q.isEmpty() -> " + str(q.isEmpty()), q.isEmpty())
v = q.dequeue()
UnitTest.assertEquals("q.dequeue() -> " + str(v), v, 1)
q.enqueue(3, 4)
v = q.dequeue()
UnitTest.assertEquals("q.dequeue() -> " + str(v), v, 2)
v = q.dequeue()
UnitTest.assertEquals("q.dequeue() -> " + str(v), v, 3)
UnitTest.assertTrue("q.isEmpty() -> " + str(q.isEmpty()), q.isEmpty())
j = 0
for ch in "ABCDEFGHIJKLMNOPQRSTUVXYZ":
q.enqueue(ch, j)
j += 1
line = ""
while not q.isEmpty():
line += q.dequeue()
UnitTest.assertEquals("line -> \"" + line + "\"", line,
"ABCDEFGHIJKLMNOPQRSTUVXYZ")
#test clear
q.clear()
UnitTest.assertTrue("q.isEmpty() -> " + str(q.isEmpty()), q.isEmpty())
#test len
j = 0
for ch in "ABCDEFGHIJKLMNOPQRSTUVXYZ":
q.enqueue(ch, j)
j += 1
length = q.len()
UnitTest.assertEquals("length -> " + str(length), length, 26)
q.clear()
if (UnitTest.getErrorCount() == 0):
print("QueueUnitTest succeeded")
else:
print("QueueUnitTest failed")
def search(self, initial_state_data, k, max_nodes=0):
assert isinstance(initial_state_data, Search.NodeStateData)
assert isinstance(k, int)
current_node = self.__create_node(initial_state_data)
explored = PriorityQueue() # the nodes we've already looked at
frontier = PriorityQueue() # the nodes we're looking at now
frontier_successors = PriorityQueue(
) # successors of the nodes we're looking at now
frontier.push(current_node, current_node.search_data.hcost
) # add the first node to the frontier
node_count = 0
while True:
if frontier.empty(): # failure
return None
while not frontier.empty(
): # for every node in the frontier, expand it and pick the k best successors
# print("moved ", str(current_node.state_data.last_move), " to " + str(current_node.state_data.parent),
# str(current_node.search_data.hcost))
# get the next frontier node and mark it as explored
current_node = frontier.pop()
# print(current_node.state_data.get_tiles())
explored.push(current_node, current_node.search_data.hcost)
if current_node.state_data.goal_test: # success
return Search.build_solution(current_node.state_data)
# expand unexplored neighbors
for prioritized_neighbor_node in self.__prioritize_neighbors(
current_node):
neighbor_node = prioritized_neighbor_node[1]
if not explored.contains(neighbor_node):
frontier_successors.push(neighbor_node,
prioritized_neighbor_node[0])
node_count += 1
if 0 < max_nodes <= node_count: # failure
return None
# get the k best moves and put them in explored, clearing frontier
frontier = frontier_successors.truncate(k)
frontier_successors.clear()
assert que.peek() is None
assert que.poll() is None
def add_to_heap():
que.add(3, 3)
que.add(2, 2)
que.add(5, 5)
que.add(6, 6)
que.add(7, 7)
que.add(9, 9)
que.add(4, 4)
que.add(8, 8)
que.add(1, 1)
add_to_heap()
for i in range(1, 10):
assert que.poll().value == i
que.clear()
assert que.size() == 0
add_to_heap()
assert que.contains(3) is True
assert que.contains(4) is True
assert que.contains(2) is True
assert que.contains(11) is False
assert que.contains(12) is False
assert que.contains(9) is True
def PriorityQueueTest():
errorcount = 0
q = PriorityQueue()
#UnitTest.assertTrue("q.isEmpty() -> " + str(q.isEmpty()), q.isEmpty())
if q.isEmpty() != True:
errorcount += 1
if len(q) != 0:
errorcount += 1
q.enqueue("Kokichi", 10)
q.enqueue("Gonta", 9)
q.enqueue("Kirumi", 4)
q.enqueue("Kaede", 2)
q.enqueue("Miu", 8)
q.enqueue("Kaito", 11)
q.enqueue("Ryoma", 3)
q.enqueue("Korekiyo", 7)
q.enqueue("Rantaro", 1)
q.enqueue("Angie", 5)
q.enqueue("Tenko", 6)
###TEST STUFF HERE###
if q.isEmpty():
errorcount += 1
if len(q) != 11:
errorcount += 1
line = []
while not q.isEmpty():
#print(q.printout())
#print(q.dequeue())
line.append(q.dequeue())
#print(q.printout())
#print(len(q))
#print(" ")
for i in range(len(line)):
if i + 1 != line[i][
1]: #checks to see if the priority does indeed go from min(1) to max(11) values
errorcount += 1
if q.isEmpty(
) != True: #makes sure that after dequeueing all of that, q is empty
errorcount += 1
if len(q) != 0:
errorcount += 1
#Testing out cases where the priorities are not numerically right after the other
q.enqueue("Keebo", 11)
q.enqueue("Tsumugi", 3)
q.enqueue("Shuichi", 7)
q.enqueue("Himiko", 1)
q.enqueue("Maki", 5)
line = []
while not q.isEmpty():
#print(q.printout())
#print(q.dequeue())
line.append(q.dequeue())
#print(q.printout())
#print(len(q))
#print(" ")
#print(line)
lastpriority = line[0][1]
for i in range(1, len(line)):
if lastpriority > line[i][
1]: #checks to see if the priority of outputs still is from min to max
errorcount += 1
lastpriority = line[i][1]
q.enqueue("Monokid", 11)
#Just adding values to make sure the .clear() function works...
q.enqueue("Monodam", 3)
q.enqueue("Monophanie", 7)
q.enqueue("Monokuma", 1)
q.enqueue("Monosuke", 6)
q.enqueue("Monotaro", 5)
q.enqueue("Nanokumas", 10)
q.clear() #Test to see if .clear() works
if len(q) != 0:
errorcount += 1
if q.isEmpty() != True:
errorcount += 1
if (errorcount == 0):
print("PriorityQueueTest succeeded")
else:
print("PriorityQueueTest failed")