def AStar(matrix):
# Set up inital condition.
# Ask for all requiered input.
global statesCount
"""
matrix = map(int,list("123456780"))
print matrix
test = map(int, list("704512836"))
matrixWithMoves = createMoves(matrix)
print test
"""
initialState = State(matrix)
initialState.f = manhathanDistance(matrix)
if initialState.isGoal():
return initialState
frontier = PriorityQueue()
explored = {}
frontier.enqueue(initialState)
statesCount = 1
while frontier:
state = frontier.dequeue()
# print state.to_string() + " " + str(state.f)
explored[state.to_string()] = 1
if state.isGoal():
return state
children = createStatesManhatan(state)
for child in children:
if child.to_string() in explored:
continue
if child not in frontier:
frontier.enqueue(child)
statesCount += 1
else:
ch = frontier.__getitem__(child)
if ch.f > child.f:
# print child.to_string() + " " + str(ch.f) + " " + str(child.f)
frontier.__delitem__(child)
frontier.enqueue(child)
ts = frontier.__getitem__(child)
return None
def hc_Steepest(matrix): # Set up inital condition. currentState = State(matrix) currentState.f = manhathanDistance(matrix) nextState = State(matrix) nextState.f = copy(currentState.f) statesCount = 1 while True: children = createStatesManhatan(currentState) for child in children: statesCount +=1 if child.f < nextState.f: nextState = child if nextState.f >= currentState.f: if nextState.isGoal(): return "Goal", nextState, statesCount else: return 'Local Maxima', nextState, statesCount currentState = copy(nextState) return None
def AStar(matrix):
# Set up inital condition.
# Ask for all requiered input.
global statesCount
statesCount = 1
"""
matrix = map(int,list("123456780"))
print matrix
matrixWithMoves = createMoves(matrix)
print matrixWithMoves
"""
initialState = State(matrix)
initialState.f = missplacedTitles(matrix)
if initialState.isGoal():
return initialState
frontier = PriorityQueue()
explored = {}
frontier.enqueue(initialState)
while frontier:
state = frontier.dequeue()
explored[state.to_string()] = 1
if state.isGoal():
return state
children = createStatesMissplaced(state)
for child in children:
if child.to_string() in explored:
continue
if child not in frontier:
frontier.enqueue(child)
statesCount += 1
else:
ch = frontier.__getitem__(child)
if ch.f > child.f:
frontier.__delitem__(child)
frontier.enqueue(child)
# ts = frontier.__getitem__(child)
return None
def hc_RandomRestart(matrix, count): # Set up inital condition. # Ask for all requiered input. currentState = State(copy(matrix)) currentState.f = manhathanDistance(copy(matrix)) nextState = State(copy(matrix)) nextState.f = copy(currentState.f) statesCount = count while True: children = createStatesManhatan(currentState) for child in children: statesCount +=1 if child.f < nextState.f: nextState = child if nextState.f >= currentState.f: if nextState.isGoal(): return "Goal", nextState, statesCount else: return hc_RandomRestart(createMovesRandomRestart(copy(matrix)), statesCount) currentState = copy(nextState) return None
