def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
[2nd Edition: p 73, 3rd Edition: p 82]
"""
"*** YOUR CODE HERE ***"
from util import Queue
fila = Queue()
colorir = []
acoes = []
inicial = (problem.getStartState(),None,None,0)
"Tupla formada por (Estado atual, Estado Pai, Aчуo, Custo)"
fila.push(inicial)
colorir.append(inicial)
while fila.isEmpty() == False:
noAtual = fila.pop()
if problem.isGoalState(noAtual[0]):
return gerarCaminho(noAtual)
else:
for item in problem.getSuccessors(noAtual[0]):
est = item[0]
aco = item[1]
cus = item[2]
if est not in colorir:
colorir.append(est)
tupla = (est,noAtual,aco,cus)
fila.push(tupla)
def breadthFirstSearch(problem):
"Search the shallowest nodes in the search tree first. [p 81]"
"*** YOUR CODE HERE ***"
from util import Queue
from game import Directions
state = 0
action = 1
cstate = problem.getStartState()
if (problem.isGoalState(cstate)):
return []
q = Queue()
visited = []
q.push((cstate, []))
while(not q.isEmpty()):
cstate, path = q.pop()
visited.append(cstate)
for x in problem.getSuccessors(cstate):
npath = path + [x[action]]
if(visited.count(x[state]) != 0):
continue
if (problem.isGoalState(x[state])):
return npath
nstate = x[state]
visited.append(x[state])
q.push((nstate, npath))
print("Path is not found")
def buildMazeDistanceMap(position, gameState):
"""
Use BFS to build a map that stores maze distances between position and each point in the layout
"""
x, y = position
walls = gameState.getWalls()
assert not walls[x][y], 'position is a wall: ' + str(position)
# initialization
distanceMap = {}
queue = Queue()
distance = 0
queue.push(position)
while not queue.isEmpty():
currPos = queue.pop()
if currPos not in distanceMap:
distanceMap[currPos] = distance
for pos in Actions.getLegalNeighbors(currPos, walls):
queue.push(pos)
distance += 1
return distanceMap
def breadthFirstSearchNormal2(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
actionListMap = []
visitedList = {}
startState = problem.getStartState()
q = Queue()
q.push(startState)
visitedList[startState] = [None, None]
while not q.isEmpty():
targetState = q.pop()
isGoal = problem.isGoalState(targetState)
if isGoal == None:
actionList = buildActionListFromBFSResult(visitedList,startState, targetState)
actionListMap.append((targetState, actionList))
elif isGoal:
actionList = buildActionListFromBFSResult(visitedList,startState, targetState)
actionListMap.append((targetState, actionList))
print "Meet Goal"
return actionListMap
else:
for successor in problem.getSuccessors(targetState):
state = successor[0]
action = successor[1]
if state not in visitedList.keys():
visitedList[state] = [targetState, action]
q.push(state)
def breadthFirstSearch(problem):
"Search the shallowest nodes in the search tree first. [p 81]"
from util import Queue
BFS1 = Queue()
Moves = []
Visited = []
Final = []
NewState = (0, (problem.getStartState(), 'Start', 0))
#print CurrentState
BFS1.push([NewState])
while not BFS1.isEmpty():
NewState = BFS1.pop()
if problem.isGoalState(NewState[0][1][0]):
Final = NewState
break
if Visited.count(NewState[0][1][0]) == 0:
#print NewState
for item in enumerate(problem.getSuccessors(NewState[0][1][0])):
#print item
BFS1.push([item] + NewState)
Visited.append(NewState[0][1][0])
for nodes in Final:
Moves.append(nodes[1][1])
Moves.reverse()
Moves.remove('Start')
#print Moves
return Moves
"""def breadthFirstSearch(problem):
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
"*** YOUR CODE HERE ***"
queue = Queue()
explored = []
queue.push((problem.getStartState(), [])) #what in the queue is the (state, path)
explored.append(problem.getStartState())
while not queue.isEmpty():
tuple = queue.pop()
currentPath = tuple[1]
if problem.isGoalState(tuple[0]):
return currentPath
suc = problem.getSuccessors(tuple[0])
for triple in suc:
if explored.__contains__(triple[0]):
continue
explored.append(triple[0])
path = currentPath + [triple[1]]
queue.push((triple[0], path))
def breadthFirstSearch(problem):
"Search the shallowest nodes in the search tree first. [p 74]"
"*** YOUR CODE HERE ***"
from util import Queue
successorsExplored = {}
statesExplored = set()
bfsQueue = Queue()
for successor in problem.getSuccessors(problem.getStartState()):
bfsQueue.push((successor, None))
statesExplored.add(problem.getStartState())
if(problem.isGoalState(problem.getStartState())):
return []
while(not bfsQueue.isEmpty()):
currentSuccessorPair = bfsQueue.pop()
if(currentSuccessorPair[0][0] in statesExplored):
continue
successorsExplored[currentSuccessorPair[0]] = currentSuccessorPair[1]
statesExplored.add(currentSuccessorPair[0][0])
if(problem.isGoalState(currentSuccessorPair[0][0])):
return reconstructPath(successorsExplored, currentSuccessorPair[0])
for successor in problem.getSuccessors(currentSuccessorPair[0][0]):
if(successor[0] not in statesExplored):
bfsQueue.push((successor, currentSuccessorPair[0]))
return None
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
path = list()
parentChild = list()
print "Problem: ", problem
print "Start:", problem.getStartState()
print "Is the start a goal?", problem.isGoalState(problem.getStartState())
print "Start's successors:", problem.getSuccessors(problem.getStartState())
if problem.isGoalState(problem.getStartState()):
return None
explored = list()
frontier = Queue()
frontier.push(problem.getStartState())
while (not frontier.isEmpty()):
state = frontier.pop()
#print "Current state: ", state
explored.append(state)
if (problem.isGoalState(state)):
#print "Found..."
path = backtracking(problem, state, parentChild)
return path
for successor in problem.getSuccessors(state):
#print "Successor: ", successor
if (not successor[0] in explored):
parentChild.append((state, successor[1], successor[0]))
frontier.push(successor[0])
return None
def breadthFirstSearch(problem):
"Search the shallowest nodes in the search tree first. [p 81]"
"*** YOUR CODE HERE ***"
from util import Queue
queue = Queue()
exploredSet = set()
pathConstructDict = {}
#print "Start's successors:", problem.getSuccessors(problem.getStartState())
#add start to exploredSet, and check if it is the goal
exploredSet.add(problem.getStartState())
if(problem.isGoalState(problem.getStartState())):
return []
for successor in problem.getSuccessors(problem.getStartState()):
#print successor
queue.push((successor, None))
while(not queue.isEmpty()):
expansion = queue.pop()
if(expansion[0][0] in exploredSet):
continue
exploredSet.add(expansion[0][0])
pathConstructDict[expansion[0]] = expansion[1]
if(problem.isGoalState(expansion[0][0])):
return pathConstructor(expansion[0], pathConstructDict)
for successor in problem.getSuccessors(expansion[0][0]):
queue.push((successor, expansion[0]))
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
startState = problem.getStartState()
# Visited
visited = []
# Declare variable for queue node
queueNode = Queue()
# Push start state into queue
queueNode.push((startState,[]))
while(not queueNode.isEmpty()):
currentState, actions = queueNode.pop()
#if currentState not in visited:
#visited.append(currentState)
seccessors = problem.getSuccessors(currentState)
print "\t" , seccessors
for state,action,cost in seccessors:
if state not in visited:
if problem.isGoalState(currentState):
print actions
return actions
visited.append(state)
queueNode.push((state,actions + [action]))
return []
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
"*** YOUR CODE HERE ***"
from util import Queue
# fringe
fringe = Queue()
# closed set
closed = set([])
fringe.push((problem.getStartState(), []))
while True:
if fringe.isEmpty() == True:
print 'fail to find a path to the goal state'
return []
else:
node = fringe.pop()
if problem.isGoalState(node[0]) == True:
return node[1]
if node[0] not in closed:
closed.add(node[0])
actionsSoFar = node[1]
for successor in problem.getSuccessors(node[0]):
newActions = actionsSoFar[:]
newActions.append(successor[1])
fringe.push((successor[0], newActions))
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
closed = []
closedSet = sets.Set(closed)
fringe = Queue()
for child in problem.getSuccessors(problem.getStartState()):
path = [child[1]]
fringe.push((child[0], path, child[2]))
closedSet.add(problem.getStartState())
while( not(fringe.isEmpty()) ):
nodePos, nodeDir, nodeCost = fringe.pop()
if (problem.isGoalState(nodePos)):
return nodeDir
if (nodePos not in closedSet):
successors = problem.getSuccessors(nodePos)
closedSet.add(nodePos)
path = [nodeDir]
for childNode in successors:
#cost = nodeCost + childNode[2]
path = nodeDir + [childNode[1]]
childNode = [childNode[0], path , child[2]]
fringe.push(childNode)
return -1
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
queueOpen = Queue()
rootNode = SearchNode(problem.getStartState(), None, None, 0, 0)
if problem.isGoalState(rootNode.position):
return []
queueOpen.push(rootNode)
visited = {}
#visited;
#cvorovi = [pocetni];
while not queueOpen.isEmpty():
#ako je cvor u visited -> continue
#stavi cvor u visited
#za svakog sljedbenika: ako nije u visited, dodaj ga u cvorove
currentNode = queueOpen.pop()
if currentNode.position in visited:
continue
if problem.isGoalState(currentNode.position):
return currentNode.backtrack()
visited[currentNode.position] = True
for succ in expand(problem, currentNode):
if succ.position not in visited:
temp = SearchNode(succ.position, currentNode, succ.transition, succ.cost, 0)
queueOpen.push(temp)
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
from util import Queue
from game import Directions
actions = []
frontier = Queue()
frontier.push((problem.getStartState(), [], 0))
visited = []
while (frontier.isEmpty() == False):
(currentS, currentP, currentC) = frontier.pop()
if (problem.isGoalState(currentS) == True):
actions = currentP
break
if (visited.count(currentS) == 0):
visited.append(currentS)
successors = problem.getSuccessors(currentS)
for i in range(0,len(successors)):
(neighbor, direction, cost) = successors[i]
if (visited.count(neighbor) == 0):
frontier.push((neighbor, (currentP +[direction]), (currentC + cost)))
print actions
return actions
util.raiseNotDefined()
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
# Imports for tools
from util import Queue
from game import Directions
import copy
path = Queue()
path.push((problem.getStartState(), []))
visited = set([problem.getStartState()])
while not path.isEmpty():
info = path.pop()
currentState = info[0]
actions = info[1]
if problem.isGoalState(currentState):
return actions
for successor in problem.getSuccessors(currentState):
if not successor[0] in visited:
visited.add(successor[0])
if ("North" in successor):
actions.append(Directions.NORTH)
elif ("East" in successor):
actions.append(Directions.EAST)
elif ("South" in successor):
actions.append(Directions.SOUTH)
elif ("West" in successor):
actions.append(Directions.WEST)
path.push((successor[0], copy.copy(actions)))
actions.pop()
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
"*** YOUR CODE HERE ***"
from util import Queue
#: lista de nodos visitados
closed = []
#: pila que hace la funcion de frontera
frontier = Queue()
# Recogemos el primer estado, creamos un nodo y lo
# insertamos en la pila
frontier.push(Node(problem.getStartState()))
# iteramos hasta que no hayan nodos en la pila
# o hayamos encontrado el objetivo
while not frontier.isEmpty():
#: siguiente nodo a expandir
node = frontier.pop()
#print "\nNodo actual: ", node.state
#print "\nCola: ", frontier.imprime()
#print "\nVisitados: ", visited
#while (raw_input(">>> ") != ""):
# pass
# comprobamos si el estado actual nos cumple el objetivo
if problem.isGoalState(node.state):
# si lo cumple, salimos del bucle
break
if node.state not in closed:
# insertamos el estado en la lista de visitados
closed.append(node.state)
# recuperamos los estados sucesores
for successor in problem.getSuccessors(node.state):
# si el estado sucesor no esta en la frontera, lo encapsulamos
# y lo itroducimos
frontier.push(Node(
successor[0],
node,
successor[1],
successor[2]))
#print frontier
#: acciones para llegar al objetivo
actions = []
# recorremos mientras haya un action en el nodo previo
while node.action:
actions.append(node.action)
node = node.previous
#mostramos el resultado antes de devolverlo
#print actions[::-1]
return actions[::-1]
def breadthFirstSearch(problem):
from util import Queue
q = Queue()
q.push((problem.getStartState(),[]))
expanded = []
while not q.isEmpty():
top = q.pop()
if problem.isGoalState(top[0]):
return top[1]
successors = problem.getSuccessors(top[0])
for successor in successors:
if not successor[0] in expanded:
q.push((successor[0], top[1]+[successor[1]]))
expanded.append(top[0])
return []
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
loc_queue = Queue()
visited_node = {}
parent_child_map = {}
direction_list = []
start_node = problem.getStartState()
parent_child_map[start_node] = []
loc_queue.push(start_node)
def traverse_path(parent_node):
while True:
map_row = parent_child_map[parent_node]
if (len(map_row) == 2):
parent_node = map_row[0]
direction = map_row[1]
direction_list.append(direction)
else:
break
return direction_list
while (loc_queue.isEmpty() == False):
parent_node = loc_queue.pop()
if (problem.isGoalState(parent_node)):
pathlist = traverse_path(parent_node)
pathlist.reverse()
return pathlist
elif (visited_node.has_key(parent_node) == False):
visited_node[parent_node] = []
sucessor_list = problem.getSuccessors(parent_node)
no_of_child = len(sucessor_list)
if (no_of_child > 0):
temp = 0
while (temp < no_of_child):
child_nodes = sucessor_list[temp]
child_state = child_nodes[0];
child_action = child_nodes[1];
if (visited_node.has_key(child_state) == False):
loc_queue.push(child_state)
if (parent_child_map.has_key(child_state) == False):
parent_child_map[child_state] = [parent_node,child_action]
temp = temp + 1
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
frontier=Queue()
start_node = Node(problem.getStartState(), step_cost=0)
explored = []
frontier.push(start_node)
while not frontier.isEmpty():
node = frontier.pop()
explored.append(node.state)
if problem.isGoalState(node.state):
return node.getPath()
for child in node.getChildren(problem):
h = isStateInList(frontier.list,child.state)
if not child.state in explored and h == -1:
frontier.push(child)
def breadthFirstSearch(graph):
state = 0
nodes = Queue()
usedstates = set()
node = [state, [state]]
nodes.push(node)
while not nodes.isEmpty():
node = nodes.pop()
[s, actions] = node
if not s in usedstates:
usedstates.add(s)
if graph.isGoalState(s):
return node[1]
for ns in graph.getSuccessors(s):
new_actions = actions + [ns]
nodes.push([ns, new_actions])
return None
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
from util import Queue
start = problem.getStartState()
checkQueue = Queue()
checkQueue.push((start,[]))
visitedStates = []
while not checkQueue.isEmpty():
popState,popDirection= checkQueue.pop()
for successors in problem.getSuccessors(popState):
state,direction,cost = successors
if not state in visitedStates:
if problem.isGoalState(state):
return popDirection + [direction]
checkQueue.push((state, popDirection +[direction]))
visitedStates.append(state)
return []
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
if problem.isGoalState(problem.getStartState()):
return list()
##initialize the list of actions to return, frontier and explored set
frontier = Queue()
listOfActions = list()
##frontier includes the state and the list of actions to get to that state to construct the node
frontier.push( [problem.getStartState(),listOfActions] )
explored = list()
##keep a list of frontier states to check if a state is in the frontier
frontierState = list()
##looping while the frontier is not empty
while not(frontier.isEmpty()):
##pop one node off the frontier, check if it is the goal state
node = frontier.pop()
if problem.isGoalState(node[0]):
return node[1]
##add the state to the explored set if it is not the goal state
explored.append(node[0])
##looping through current state's successor states
for state,action,stepCost in problem.getSuccessors(node[0]):
oldActions = list(node[1])
##add the action needed from current state to next state onto the action list
oldActions.append(action)
nextNode = [state, oldActions]
##add the state to the frontier if it is both unexplored and not on the frontier
if(state not in explored and state not in frontierState):
frontier.push(nextNode)
frontierState.append(state)
return None
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
[2nd Edition: p 73, 3rd Edition: p 82]
"""
"*** YOUR CODE HERE ***"
from game import Directions
from util import Queue
Explored = {}
Frontier = Queue()
node = 0
current = problem.getStartState()
#print "bfs first state", current
Explored[current] = 1
succ = problem.getSuccessors(current)
for k in succ:
#print "initial push",k
Frontier.push([k]);
while not (Frontier.isEmpty()):
current = Frontier.pop()
node = current[-1][0]
#print "curr path and node",current,node,"explored status",(node in Explored),"\n"
# check if done
if (problem.isGoalState(node)):
break
#print node
if(node in Explored):
continue
Explored[node] = 1;
succ = problem.getSuccessors(node)
for k in succ:
if not (k[0] in Explored):
#if not (Frontier.isPresent(current + [k])):
Frontier.push(current + [k]);
#Explored[k[0]] = 1;
sol = []
for k in current:
sol += [k[1]]
#print current
#print "action sol", sol
return sol
def breadthFirstSearch(problem):
"Search the shallowest nodes in the search tree first. [p 81]"
"*** YOUR CODE HERE ***"
"""
Implements BFS by traversing the graph in "level-order" using a Queue,
returning a path to the goal if one exists.
"""
from util import Queue
# Constants for readability
STATE = 0
DIRECTION = 1
# A list containing the states already encountered
nodeHistory = []
# A list used to store the nodes to explore
nodeQueue = Queue()
# Start by enqueueing the start, along with an empty path
nodeQueue.push(((problem.getStartState(), 'Stop', 0), []))
# Iterate through the queue
while not nodeQueue.isEmpty():
# Get the parent node, and the path to it
node, path = nodeQueue.pop()
# Seperate the parent state for successor query
parent = node[STATE]
# For each child of the parent state,
for i, child in enumerate(problem.getSuccessors(parent)):
# Check to see if the child has been explored
if not child[STATE] in nodeHistory:
# If no,
# Check to see if the goal state has been reached
if problem.isGoalState(child[STATE]):
path = path + [child[DIRECTION]]
return path
# Otherwise,
else:
# Mark the node as explored
nodeQueue.push((child, path + [child[DIRECTION]]))
# And enqueue the child
nodeHistory.append(child[STATE])
# Return an empty list if no path can be found
return []
def mazeDistance(x, y, walls):
from util import Queue
queue = Queue()
visitedSet = set()
queue.push((x, 0))
while not queue.isEmpty():
currentNode = queue.pop()
if(currentNode[0] == y):
return currentNode[1]
successors = getSuccessors(currentNode[0], walls)
for successor in successors:
if successor not in visitedSet:
queue.push((successor, currentNode[1] + 1))
visitedSet.add(successor)
return None
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"[Project 2] YOUR CODE HERE"
#util.raiseNotDefined()
from util import Queue
from game import Directions
solution = [] #direction
to_visit = Queue() #position
visited = set() #already visit
cost = {} #cost of every visited point
cost[problem.getStartState()] = 0
to_visit.push(problem.getStartState())
#visited.add(problem.getStartState())
startPoint = problem.getStartState()
while not to_visit.isEmpty():
v = to_visit.pop()
visited.add(v)
if problem.isGoalState(v):
while v != startPoint:
minimum = 99999
temp = problem.getSuccessors(v)[0]
for x in problem.getSuccessors(v):
if x[0] in visited and cost[x[0]] < minimum:
minimum = cost[x[0]]
temp = x
v = temp[0]
if temp[1] == Directions.EAST:
solution.append(Directions.WEST)
elif temp[1] == Directions.WEST:
solution.append(Directions.EAST)
elif temp[1] == Directions.NORTH:
solution.append(Directions.SOUTH)
else:
solution.append(Directions.NORTH)
solution.reverse()
#print solution
return solution
else:
for x in problem.getSuccessors(v):
if x[0] not in visited:
to_visit.push(x[0])
if x[0] not in cost:
cost[x[0]] = cost[v] + x[2]
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
#Init variables
currentCoordinate = problem.getStartState() #The current coordinate we are evaluating
pathToCurrentCoordinate = [] #The current list we are using and updating
fringeCoordinateList = Queue() #List of current edge coordinates, can have duplications
fringeCoordinateList.push(currentCoordinate)
previouslyVisitedCoordinatesList = [] #List of previously visited coordinates
pathsToCoordinates = Queue() #List of lists of actions
pathsToCoordinates.push(pathToCurrentCoordinate)
while(not problem.isGoalState(currentCoordinate) and not fringeCoordinateList.isEmpty()):
#Find the next coordinate from the fringe, that we haven't visited before
topFringeCoordinate = fringeCoordinateList.pop()
pathToCurrentCoordinate = pathsToCoordinates.pop()
while(topFringeCoordinate in previouslyVisitedCoordinatesList):
topFringeCoordinate = fringeCoordinateList.pop()
pathToCurrentCoordinate = pathsToCoordinates.pop()
currentCoordinate = topFringeCoordinate
#Hotfix for autograder
if (problem.isGoalState(currentCoordinate)):
break;
#Add new fringe coordinates to the list, and update the action lists as appropriate
successors = problem.getSuccessors(currentCoordinate)
for successor in successors:
fringeCoordinateList.push(successor[0])
newActionList = list(pathToCurrentCoordinate) #Copy list
newActionList.append(successor)
pathsToCoordinates.push(newActionList)
#Mark that we have visited the current coordinate
previouslyVisitedCoordinatesList.append(currentCoordinate)
result = []
for action in pathToCurrentCoordinate:
result.append(action[1])
return result
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
[2nd Edition: p 73, 3rd Edition: p 82]
"""
"*** YOUR CODE HERE ***"
from game import Directions
s = Directions.SOUTH
w = Directions.WEST
n = Directions.NORTH
e = Directions.EAST
start = problem.getStartState()
print "the start state is ", start
if problem.isGoalState(start):
return []
from util import Queue
statesQueue = Queue()
statesQueue.push((start,[]))
print "start is ", start
exploredSet = set([start])
while not statesQueue.isEmpty():
tup1 = statesQueue.pop()
state = tup1[0]
path = tup1[1]
if problem.isGoalState(state):
return path
successors = problem.getSuccessors(state)
for succ in successors:
succState = succ[0]
move = succ[1]
#cost = succ[2]
tempPath = list(path)
if not succState in exploredSet:
exploredSet.add(succState)
if move == 'North':
tempPath.append(n)
elif move == 'East':
tempPath.append(e)
elif move == 'South':
tempPath.append(s)
elif move == 'West':
tempPath.append(w)
statesQueue.push((succState,tempPath))
return []
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
queue = Queue() # (state, path)
visit = set()
state = problem.getStartState()
queue.push((state, []))
while not queue.isEmpty():
state, path = queue.pop()
visit.add(state)
if problem.isGoalState(state):
return path
for nextState, direction, score in problem.getSuccessors(state):
if nextState not in visit:
queue.push((nextState, path + [direction]))
visit.add(nextState)
def breadthFirstSearch(problem):
from util import Queue
closedSet = set() # set of nodes already visited
fringe = Queue() # queue that contains the fringe of the search
path = [] # list holding the path that will be returned for PacMan to follow
# push the start state to the fringe
state = problem.getStartState()
node = makeNode(state)
fringe.push(node)
# step through the fringe until it is empty
while not fringe.isEmpty():
# update the information about the current node and add it to the set
node = fringe.pop()
state = node.state
path = node.path
closedSet.add(state)
# return the path if you reach the goal
if problem.isGoalState(state):
return path
# add the node's successors to the fringe, start with the first successor
# and expand all succesors before pursuing further nodes
successors = problem.getSuccessors(state)
for each in successors:
# get information from the successor
nextState, nextAction, cost = each
if nextState not in closedSet:
closedSet.add(nextState)
# update the path to include the successor
nextPath = []
for every in path:
nextPath.append(every)
nextPath.append(nextAction)
# build a new node with the new successor's information and add it to the fringe
nextNode = makeNode(nextState, nextPath)
fringe.push(nextNode)
# if we reach this point - there was no solution
print "Breadth First Search was unable to find a solution."
return None
def breadthFirstSearch(problem):
"""
Q1.2
Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
"""The code is same as Depth First search, but we use Queue instead of Stack """
if problem.isGoalState(problem.getStartState()):
return []
"""As we need FIFO for DFS"""
from util import Queue
""""Now I have to initialize frontier with the initial state of the problem, according to fig 3.7"""
Frontier = Queue()
"""Now I push the valid start state"""
Frontier.push((problem.getStartState(), []))
"""initializing empty explored set"""
statePath = []
stateVisited = []
while (True):
"""return failure if Frontier is empty """
if Frontier.isEmpty():
return []
"""choose a leaf node and remove it from Frontier"""
xy, statePath = Frontier.pop()
""" if it is the goal state, return it"""
if problem.isGoalState(xy):
return statePath
"""Add the node to the explored set"""
stateVisited.append(xy)
"""expand the chosen node """
succecorPath = problem.getSuccessors(xy)
"""print ( problem.getSuccessors(xy)), test for successor """
if succecorPath:
for paths in succecorPath:
"""Adding resulting nodes in Frontier only if not in frontier or explored set """
if paths[0] not in stateVisited and paths[0] not in (
state[0] for state in Frontier.list):
"""A condtion is added in the above if, we had to check all the nodes where we have been (states) """
newPath = statePath + [paths[1]]
"""
print(paths[0])
print(paths[1])
print(newPath) """
Frontier.push((paths[0], newPath))
def coinGroup(xy, gameStateData):
food = gameStateData.getFood().asList()
capsules = gameStateData.getCapsules()
q = Queue()
q.push(xy)
seen = set()
seen.add(xy)
seenCoin = set()
seenCoin.add(xy)
while not q.isEmpty():
nextPoint = q.pop()
neighbors = game.Actions.getLegalNeighbors(nextPoint, gameStateData.getWalls())
for neighbor in neighbors:
if neighbor not in seen:
seen.add(neighbor)
if neighbor in food or neighbor in capsules:
seenCoin.add(neighbor)
q.push(neighbor)
return seenCoin
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
closed = []
from util import Queue
fringe = Queue()
fringe.push((problem.getStartState(), [], 1))
result = []
"print type(fringe)"
while (fringe.isEmpty() == False):
node = fringe.pop()
"""
print
print node
"""
result = node[1]
if node[0] not in closed:
"""
print "Inloop",node[0]
print type(node[1])
print result
print node[1]
print result
"""
if problem.isGoalState(node[0]):
"print result"
return result
closed.append(node[0])
temp = problem.getSuccessors(node[0])
#print temp
for child_node in temp:
fringe.push((child_node[0], result + [child_node[1]], 1))
return []
util.raiseNotDefined()
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
parentMaps = {}
visitedNodes = []
searchStates = Queue()
searchStates.push((problem.getStartState(), ""))
while not searchStates.isEmpty():
top = searchStates.pop()
if not top[0] in visitedNodes:
visitedNodes.append(top[0])
if problem.isGoalState(top[0]):
return tracePath(parentMaps, top)
successors = problem.getSuccessors(top[0])
parentMaps[top] = successors
for successor in successors:
if not successor[0] in visitedNodes:
searchStates.push(successor)
return [Directions.STOP]
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
closed = []
fringe = Queue()
fringe.push((problem.getStartState(), []))
while not fringe.isEmpty():
(node, address) = fringe.pop()
if (not node in closed):
closed.append(node)
if problem.isGoalState(node):
return address
for child, child_address, cost in problem.getSuccessors(node):
fringe.push((child, address + [child_address]))
def check_goal_state(problem):
fringe = Queue()
been_there = []
fringe.push((problem.get_start_state(), []))
for i in range(snake_to_check_depth(len(problem.state.snake))):
if fringe.isEmpty():
return False
current_board, actions = fringe.pop()
if illegal(current_board.snake[0], current_board.board_size,
current_board.snake[1:]):
pass
if current_board not in been_there:
successors = problem.get_successors(current_board)
for item in successors:
temp_lst = actions[:]
temp_lst.append(item[1])
fringe.push((item[0], temp_lst))
been_there.append(current_board)
return True
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
"*** YOUR CODE HERE ***"
from game import Directions
s = Directions.SOUTH
w = Directions.WEST
n = Directions.NORTH
e = Directions.EAST
start = problem.getStartState()
if problem.isGoalState(start):
return []
from util import Queue
statesQueue = Queue()
exploredSet = set([start])
tup = (start, [])
statesQueue.push(tup)
while not statesQueue.isEmpty():
tup1 = statesQueue.pop()
state = tup1[0]
path = tup1[1]
if problem.isGoalState(state):
return path
successors = problem.getSuccessors(state)
for succ in successors:
coor = succ[0]
move = succ[1]
tempPath = list(path)
if not coor in exploredSet:
exploredSet.add(coor)
if move == "North":
tempPath.append(n)
elif move == "East":
tempPath.append(e)
elif move == "South":
tempPath.append(s)
elif move == "West":
tempPath.append(w)
statesQueue.push((coor, tempPath))
return [] # nodes expanded, tiny=15, medium=269, big=620
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from game import Directions
from util import Queue
s = Directions.SOUTH
w = Directions.WEST
e = Directions.EAST
n = Directions.NORTH
visited = [None] # list of states (each state is a position in this case)
queue = Queue(
) # contains pairs. each pair's first elem is a list of actions. second elem is state
queue.push([[], problem.getStartState()])
while (not queue.isEmpty()):
top = queue.pop() # this is the top of the stack
#print("@@@@@TOP: ", top)
actions = top[0]
state = top[1]
#print("@@@@@@STATE: ", state)
# print("@@@@@@ENTERETED LOOP")
if problem.isGoalState(state):
# print("@@@@ACTIONS: ", actions)
return actions
visited.append(state)
for child in problem.getSuccessors(
state): #returns (nextstate, actions, cost)
childAction = child[1]
childState = child[0]
if (childState not in visited):
visited.append(childState)
# print ("@@@@@@STATE: ", child)
#if (child[0] not in visited):
tempActions = actions[:]
# print("!!!!!!!TYPE ", type(tempActions))
tempActions.append(childAction)
queue.push([tempActions, child[0]])
return None
util.raiseNotDefined()
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
startState = problem.getStartState()
queue = Queue()
visited = {startState}
action = []
queue.push((startState, action))
while not queue.isEmpty():
v = queue.pop()
visited.add(v[0])
if problem.isGoalState(v[0]):
return v[1]
# queue.pop(len(queue) - 1)
successors = problem.getSuccessors(v[0])
for successor in successors:
if successor[0] not in visited:
queue.push((successor[0], v[1] + [successor[1]]))
return []
# startState = problem.getStartState()
#
# queue = Queue()
# visited = set()
# visited.add(startState[0])
# action = []
# queue.push((startState, action))
# while not queue.isEmpty():
# v = queue.pop()
# print v
# visited.add(v[0])
# if problem.isGoalState(v[0]):
# print v[1]
# return v[1]
# successors = problem.getSuccessors(v[0])
# for successor in successors:
# if successor[0] not in visited:
# queue.push((successor[0], v[1] + [successor[1]]))
#
# return []
util.raiseNotDefined()
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
Wantvisit = Queue()
visited = set()
Wantvisit.push((problem.getStartState(), [], 0))
while not Wantvisit.isEmpty():
node = Wantvisit.pop()
if node[0] in visited:
continue
visited.add(node[0])
if problem.isGoalState(node[0]): return node[1]
for nodelocation, nodepath, nodecost in problem.getSuccessors(node[0]):
way = node[1] + [nodepath]
cost = node[2] + nodecost
Wantvisit.push((nodelocation, way, cost))
return []
util.raiseNotDefined()
def breadthFirstSearch(problem):
"Search the shallowest nodes in the search tree first. [p 81]"
from util import Queue
fringe = Queue()
visited = []
final_path = []
fringe.push((problem.startingState(), [], 1))
while not fringe.isEmpty():
state, nodepath, cost = fringe.pop()
if problem.isGoal(state):
final_path = nodepath
print "Found Goal"
break
for successor in problem.successorStates(state):
if successor[0] not in visited:
visited.append(successor[0])
fringe.push((successor[0], nodepath + [successor[1]], cost))
return final_path
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
from util import Queue
start = problem.getStartState()
closed = []
fringe = Queue()
tup = (start, [])
fringe.push(tup)
while not fringe.isEmpty():
spot, path = fringe.pop()
if problem.isGoalState(spot):
return path
if not spot in closed:
closed += [spot]
for successor in problem.getSuccessors(spot):
nspot, direction, val = successor
ntup = (nspot, path + [direction])
fringe.push(ntup)
return "No Path Found"
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
import copy
openList = Queue()
closedList = []
pathToNode = []
# get the first node of the graph
openList.push(((problem.getStartState(), "-", 0), pathToNode))
while not openList.isEmpty():
pathToNode = []
#print "Open list: ",openList.list
#print "Closed List: ", closedList
currentNode, pathToNode = openList.pop()
pathToNode.append(currentNode[1])
closedList.append(currentNode[0])
#print "Current: ",currentNode
#print "Path:",pathToNode
# goal state
if problem.isGoalState(currentNode[0]):
pathToNode.append(currentNode[1])
# load the actions and return
#print "Path to goal:",pathToNode[1:]
return pathToNode[1:]
for node in problem.getSuccessors(currentNode[0]):
if node[0] not in closedList:
#print "Children node:",node
if problem.isGoalState(node[0]):
pathToNode.append(node[1])
#print "Path to goal:",pathToNode[1:]
print "Total steps:", len(pathToNode[1:])
return pathToNode[1:]
#print "Path",pathToNode
openList.push((node, copy.copy(pathToNode)))
util.raiseNotDefined()
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
#This is a queue which contain the position that the pacman will travel
PositionQueue = Queue()
#This will contain all of the visited states
Visited = []
#This will contain the path from the starting state
Path = []
#Test to see if the inital state is the goal state which you are intending to find.
if problem.isGoalState(problem.getStartState()):
return []
#This will start to push onto the queue from the beginning and will find a solution. The initial path is an empty list
PositionQueue.push((problem.getStartState(),[]))
while(True):
#This will end the program is a solution cannot be found
if PositionQueue.isEmpty():
return []
#This will gather the information of the current state (p1,p2)
p1p2,Path = PositionQueue.pop()
Visited.append(p1p2)
#Check to see if new position p1p2 is the end goal
if problem.isGoalState(p1p2):
return Path
#Get Possible Successors of the current state
q1q2 = problem.getSuccessors(p1p2)
#This will add new states in the queue
if q1q2:
for option in q1q2:
if option[0] not in Visited and option[0] not in (state[0] for state in PositionQueue.list):
#Calculate a new path
NPath = Path + [option[1]]
PositionQueue.push((option[0],NPath))
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
[2nd Edition: p 73, 3rd Edition: p 82]
Test case: python pacman.py -l mediumMaze -p SearchAgent -a fn=bfs
Test case: python pacman.py -l bigMaze -p SearchAgent -a fn=bfs -z .5
"""
from util import Queue
import copy
frontier = Queue()
explored = []
if problem.isGoalState(problem.getStartState()):
return []
# Kick start with the start state
# Save the action stack (ancestor path) together with the state
frontier.push((problem.getStartState(), []))
explored.append(problem.getStartState())
while True:
if frontier.isEmpty():
return False
# Get the first one from the Queue to explore
(current_state, action_stack) = frontier.pop()
# Search for child states
successors = problem.getSuccessors(current_state)
for s in successors:
(next_state, next_action, cost) = s
# Skip visited state (frontier and explored), prevent infinite loop
if is_visited(explored, next_state):
continue
# Deep copy the ancestor path and add this successor
# so that we can return the action stack (ancestor path) whenever we found the goal state
next_action_stack = copy.deepcopy(action_stack)
next_action_stack.append(next_action)
# Return action stack when found the goal state
if problem.isGoalState(next_state):
return next_action_stack
# If not goal state, push the state into frontier for later exploration
# Save the action stack (ancestor path) together with the state
frontier.push((next_state, next_action_stack))
explored.append(next_state)
def breadthFirstSearch(problem):
"Search the shallowest nodes in the search tree first. [p 81]"
"*** YOUR CODE HERE ***"
from game import Directions
from util import Queue
n = Directions.NORTH
s = Directions.SOUTH
e = Directions.EAST
w = Directions.WEST
explored = []
frontier = Queue()
frontierSet = []
start_node = problem.getStartState()
if problem.isGoalState(start_node) == True:
return []
frontier.push((start_node, []))
while frontier.isEmpty() == False:
currentNode = frontier.pop()
currentState = currentNode[0]
actions = currentNode[1]
if (problem.isGoalState(currentState) == True):
#print actions
return actions
explored.append(str(currentState))
successors = problem.getSuccessors(currentState)
for successor in successors:
succState = successor[0]
succAction = successor[1]
if str(succState) not in explored and str(
succState) not in frontierSet:
frontierSet.append(str(succState))
tempPath = list(actions)
if (succAction == 'North'):
tempPath.append(n)
elif (succAction == 'East'):
tempPath.append(e)
elif (succAction == 'South'):
tempPath.append(s)
elif (succAction == 'West'):
tempPath.append(w)
frontier.push((succState, tempPath))
return []
def breadthFirstSearch(problem):
"""Questoin 1.2
Search the shallowest nodes in the search tree first.
"""
"*** YOUR CODE HERE ***"
visited = []
direction = []
visited_node = []
fringe = Queue()
count = 0
#StartState = ((problem.getStartState(), "" , 0))
Startstate = problem.getStartState()
fringe.push((Startstate, direction))
Successor = []
# while the queue is not empty
while not fringe.isEmpty():
# Get all the values from queue
current_node, direction = fringe.pop()
# if it reaches the goal then return direction
if problem.isGoalState(current_node) == True:
direction.append(Successor[1])
return direction
# if not reaches
else:
# check the current is in visited list or not
if current_node not in visited:
Successor = problem.getSuccessors(current_node)
visited = visited + [current_node]
# looping the successor to get the next node and direction
for element in Successor:
# check whether the next node is in visited list or not
if element[0] not in visited:
if problem.isGoalState(element[0]) == True:
return direction + [element[1]]
else:
#push everything to the queque
fringe.push((element[0], direction + [element[1]]))
return direction
def breadthFirstSearch(pacmanPosition, wallPosition, goalPosition):
from util import Queue
queue = Queue()
queue.push(pacmanPosition)
visited = { pacmanPosition: (None, None) }
solution = []
while not queue.isEmpty() and not solution:
node = queue.pop()
if node in goalPosition:
solution = computeSolution(node, visited)
if not solution:
for direction in [Directions.NORTH, Directions.SOUTH, Directions.EAST, Directions.WEST]:
x, y = node
dx, dy = Actions.directionToVector(direction)
nextx, nexty = int(x + dx), int(y + dy)
if not wallPosition[nextx][nexty]:
if (nextx, nexty) not in visited:
visited[(nextx, nexty)] = (node, direction)
queue.push((nextx, nexty))
return len(solution)
def findpath(self, foodpos):
initpos = foodpos
nodes = Queue()
nodes.push((initpos, []))
closed = []
while not nodes.isEmpty():
curnode, acts = nodes.pop()
if curnode in closed:
continue
closed.append(curnode)
if self.isgoal(curnode):
if len(acts) == 0:
return ['STOP']
return acts
succs = self.getsucc(curnode)
for node in succs:
newacts = acts.copy()
newacts.append(node[1])
nodes.push((node[0], newacts))
return []
def breadthFirstSearch(problem):
# initialization part of the algorithm
from util import Queue
queue = Queue()
queue.push(problem.getStartState())
visited = {problem.getStartState(): (None, None)}
solution = []
while not queue.isEmpty() and not solution:
# extract a node from the queue
node = queue.pop()
# if the node is a goal state, then compute solution
if problem.isGoalState(node):
solution = computeSolution(node, visited)
if not solution:
# take each successor of the current node and add it to the queue if not visited
for successor in problem.getSuccessors(node):
if successor[0] not in visited:
visited[successor[0]] = (node, successor[1])
queue.push(successor[0])
return solution
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
fringe = Queue()
closed_set = set()
action_list = list()
current_state_list = [problem.getStartState(), []]
while True:
if problem.isGoalState(current_state_list[0]):
action_list = current_state_list[1]
break
if current_state_list[0] not in closed_set:
for i in problem.getSuccessors(current_state_list[0]):
if i[0] not in closed_set:
fringe.push([i[0], current_state_list[1] + [i[1]]])
closed_set.add(current_state_list[0])
if fringe.isEmpty():
break
current_state_list = fringe.pop()
return action_list
def mazeDistance(start, end, walls):
from util import Queue
assert not walls[start[0]][start[1]], 'point1 is a wall: ' + str(start)
assert not walls[end[0]][end[1]], 'point2 is a wall: ' + str(end)
bfsQueue = Queue()
statesExplored = set()
bfsQueue.push((start, 0))
while (not bfsQueue.isEmpty()):
currentNode = bfsQueue.pop()
if (currentNode[0] == end):
return currentNode[1]
successors = getSuccessorsForBFS(currentNode[0], walls)
for successor in successors:
if (successor not in statesExplored):
bfsQueue.push((successor, currentNode[1] + 1))
statesExplored.add(successor)
return None
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
open = Queue()
cyclecheck = {}
start = problem.getStartState()
open.push((start, [], 0))
cyclecheck[start] = []
if problem.isGoalState(start):
return []
while not open.isEmpty():
state, actions, cost = open.pop()
cyclecheck[state] = actions
if problem.isGoalState(state):
return actions
for suc in problem.getSuccessors(state):
if suc[0] not in cyclecheck:
cyclecheck[suc[0]] = suc[1]
succ = (suc[0], actions + [suc[1]], suc[2] + cost)
open.push(succ)
return False
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
[2nd Edition: p 73, 3rd Edition: p 82]
"""
"*** YOUR CODE HERE ***"
from game import Directions
from util import Queue
if (problem.isGoalState(problem.getStartState())):
return []
explored = []
fringe = []
leaves = Queue()
leaves.push((problem.getStartState(), []))
while (not leaves.isEmpty()):
length = len(leaves.list)
for i in range(length):
node = leaves.pop()
#print node
explored.append(node[0])
curState = node[0]
actions = node[1]
neighbors = problem.getSuccessors(curState)
# if problem.isGoalState(curState):
# #actions.append(ele[])
# #print len(actions)
# return actions
for ele in neighbors:
if ele[0] not in explored and ele[0] not in fringe:
if problem.isGoalState(ele[0]):
actions.append(ele[1])
#print len(actions)
#print actions
return actions
fringe.append(ele[0])
leaves.push((ele[0], actions + [ele[1]]))
print "Error: No Path Found!"
return []
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
"*** YOUR CODE HERE ***"
from game import Directions
s = Directions.SOUTH
w = Directions.WEST
n = Directions.NORTH
e = Directions.EAST
start = problem.getStartState()
if problem.isGoalState(start):
return []
from util import Queue
statesQueue = Queue()
exploredSet = set([start])
tup = (start,[])
statesQueue.push(tup)
while not statesQueue.isEmpty():
tup1 = statesQueue.pop()
state = tup1[0]
path = tup1[1]
if problem.isGoalState(state):
return path
successors = problem.getSuccessors(state)
for succ in successors:
coor = succ[0]
move = succ[1]
tempPath = list(path)
if not coor in exploredSet:
exploredSet.add(coor)
if move == 'North':
tempPath.append(n)
elif move == 'East':
tempPath.append(e)
elif move == 'South':
tempPath.append(s)
elif move == 'West':
tempPath.append(w)
statesQueue.push((coor,tempPath))
return []#nodes expanded, tiny=15, medium=269, big=620
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
from util import Queue
queue = Queue() # queue data structure
queue.push(problem.getStartState())
visited_set = [] # for storing set of visited states
path = []
backTrackDict = {} # dictionary for tracking path
backTrackDict[problem.getStartState()] = [problem.getStartState(), '']
visited_set.append(problem.getStartState())
while (not queue.isEmpty()):
node = queue.pop()
if (problem.isGoalState(node)): # if it is a goal state, track path
temp = node
while (backTrackDict[temp][0] !=
temp): # until it is a start state
path.append(backTrackDict[temp][1])
temp = backTrackDict[temp][0]
path.reverse()
return path
else:
children = problem.getSuccessors(node)
for child in children:
if (child[0] not in visited_set
): # push child to queue if not in visited set
queue.push(child[0])
visited_set.append(child[0])
if (child[0] not in backTrackDict):
backTrackDict[child[0]] = [
node, child[1]
] # add child as key to dictionary and (parent,action) as value
"*** YOUR CODE HERE ***"
util.raiseNotDefined()
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
startState = problem.getStartState()
bfsStack = Queue()
bfsClosed = dict()
# object the holds node properties
activeNode = {
'nodeAction': None,
'nodeState': startState,
'nodeParent': None
}
bfsStack.push(activeNode)
while True:
if bfsStack.isEmpty():
break
activeNode = bfsStack.pop()
state = activeNode["nodeState"]
if bfsClosed.has_key((state)):
continue
else:
bfsClosed[state] = True
if problem.isGoalState(state) == True:
break
for expandedNodes in problem.getSuccessors(state):
if not bfsClosed.has_key((expandedNodes[0])):
# push the child node with child node properties, important to save the parent path ("nodeParnt")
bfsStack.push({
'nodeAction': expandedNodes[1],
'nodeState': expandedNodes[0],
'nodeParent': activeNode
})
actions = []
while True:
if activeNode["nodeAction"] == None:
break
actions.insert(0, activeNode["nodeAction"])
activeNode = activeNode["nodeParent"]
return actions
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
from util import Queue
visitedStates = []
start_stateObj = problem.getStartState()
fringe = Queue()
fringe.push( (start_stateObj, [] ) )
while not fringe.isEmpty():
current_StateObj, curPath = fringe.pop()
if problem.isGoalState(current_StateObj):
return curPath
if current_StateObj not in visitedStates:
successorStates_tuple = problem.getSuccessors(current_StateObj)
for stateTuple in successorStates_tuple:
fringe.push( (stateTuple[0], curPath + [stateTuple[1]] ) )
visitedStates.append(current_StateObj)
def breadthFirstSearch(problem):
"""
Search the shallowest nodes in the search tree first.
"""
# define the node as (state, trajectory)
from util import Queue
queue, seen = Queue(), set()
queue.push((problem.getStartState(), []))
while not queue.isEmpty():
state, trajectory = queue.pop()
if state in seen:
continue
seen.add(state)
if problem.isGoalState(state):
return trajectory
else:
for successor, action, stepCost in problem.getSuccessors(state):
if successor not in seen:
queue.push((successor, trajectory + [action]))
def breadthFirstSearch(problem):
"""Search the shallowest nodes in the search tree first."""
"*** YOUR CODE HERE ***"
from util import Queue
queue = Queue()
startState = problem.getStartState()
visitedList = {}
action = []
cost = 0
queue.push((startState, action, cost))
while not queue.isEmpty():
top = queue.pop()
if problem.isGoalState(top[0]):
return top[1]
if top[0] not in visitedList:
visitedList[top[0]] = True
for successor_nodes, act, co in problem.getSuccessors(top[0]):
if successor_nodes and successor_nodes not in visitedList:
queue.push((successor_nodes, top[1] + [act], top[2] + co))
util.raiseNotDefined()
