class BFS(object):
def __init__(self):
self.visitedNodes = [];
self.Time = Time();
self.limitTime = 100000;
self.limitCost = 100000;
def bfs_initState(self, graph, initState, initTime):
startingNode = []
for i in range(0, len(graph)):
if graph[i].departure == initState:
startingNode.append(graph[i]);
startingNode[-1] = self.Time.checkTime(startingNode[-1], initTime, self)
return startingNode;
def bfs_search(self, startingNode, soughtValue):
stack = startingNode;
while len(stack) > 0:
for i in range(0, len(stack)):
#This happens when there is no solution
# if i >= len(stack):
# return False;
# print (i)
# print (len(stack))
node = stack.pop(0)
if node in self.visitedNodes:
continue
self.visitedNodes.append(node)
if node.arrival == soughtValue:
time = node.timeSpent;
cost = node.cost;
output = node.departure + ' ' + node.type + ' ' + node.arrival
while node.departure != self.visitedNodes[0].departure:
node = node.parent;
cost = cost + node.cost
output = node.departure + ' ' + node.type + ' ' + output
output = output + ' ' + str(time) + ' ' + str(cost)
return output
for n in node.child:
if n not in self.visitedNodes:
n.parent = self.visitedNodes[-1];
stack.append(n)
stack[-1] = self.Time.checkTime(stack[-1], n.parent.initTime, self)
if stack[-1].visited:
stack.pop();
continue;
#We don't want to go back or do the same cities again
if BFS.checkRepeated(self, n):
stack.pop()
return False
def checkRepeated(self, n):
check = False;
for i in range(0, len(self.visitedNodes)):
if (n.arrival == self.visitedNodes[i].departure) and (n.departure == self.visitedNodes[i].arrival):
check = True;
return check
class A_star(object):
def __init__(self):
self.visitedNodes = [];
self.Time = Time();
self.limitTime = 100000;
self.limitCost = 100000;
self.min = 'tempo';
def aStar_initState(self, graph, initState, initTime):
startingNode = []
for i in range(0, len(graph)):
if graph[i].departure == initState:
startingNode.append(graph[i]);
startingNode[-1] = self.Time.checkTime(startingNode[-1], initTime, self)
return startingNode;
def aStar(self, startingNode, soughtValue):
stack = startingNode;
solutions = [];
while len(stack) > 0:
for i in range(0, len(stack)):
node = stack.pop(0)
if node in self.visitedNodes:
continue
self.visitedNodes.append(node)
if node.arrival == soughtValue:
solutions.append(node);
continue
for n in node.child:
if n not in self.visitedNodes:
n.parent = self.visitedNodes[-1];
stack.append(n)
stack[-1] = self.Time.checkTime(stack[-1], n.parent.timeSpent, self)
if stack[-1].visited or A_star.checkRepeated(self, n):
stack.pop();
#We don't want to go back or do the same cities again
if not solutions:
return False;
else:
node = A_star.checkMin(self, solutions, self.min);
time = node.timeSpent;
cost = int(node.cost);
output = node.departure + ' ' + node.type + ' ' + node.arrival
while node.departure != self.visitedNodes[0].departure:
node = node.parent;
cost = cost + int(node.cost)
output = node.departure + ' ' + node.type + ' ' + output
output = output + ' ' + str(time) + ' ' + str(cost)
return output
def checkRepeated(self, n):
check = False;
for i in range(0, len(self.visitedNodes)):
if (n.arrival == self.visitedNodes[i].departure) and (n.departure == self.visitedNodes[i].arrival):
check = True;
return check
def checkMin(self, graph, minimizing):
if minimizing == 'tempo':
timeSpent = graph[0].timeSpent;
path = graph[0];
for node in graph:
if node.timeSpent < timeSpent:
path = node;
return path
if minimizing == 'custo':
pathCost = graph[0].pathCost;
path = graph[0];
for node in graph:
if node.pathCost < pathCost:
path = node;
return path
class DFS(object):
def __init__(self):
self.visitedNodes = [];
self.Time = Time()
self.limitTime = 100000;
self.limitCost = 100000;
def dfs_initState(self, graph, initState, initTime):
startingNode = []
for i in range(0, len(graph)):
if graph[i].departure == initState:
startingNode.append(graph[i]);
startingNode[-1] = self.Time.checkTime(startingNode[-1], initTime, self)
return startingNode;
def dfs_search(self, startingNode, soughtValue):
stack = startingNode;
while len(stack) > 0:
node = stack.pop()
# print (node.departure)
# print (node.arrival)
#print ('here')
if node in self.visitedNodes:
continue
self.visitedNodes.append(node)
if node.arrival == soughtValue:
time = node.timeSpent;
cost = int(node.cost);
output = node.departure + ' ' + node.type + ' ' + node.arrival
while node.departure != self.visitedNodes[0].departure:
node = node.parent;
cost = cost + int(node.cost)
output = node.departure + ' ' + node.type + ' ' + output
output = output + ' ' + str(time) + ' ' + str(cost)
return output
for n in node.child:
if DFS.checkIfInStack(self, n, stack):
continue
if n not in self.visitedNodes:
n.parent = self.visitedNodes[-1];
stack.append(n)
stack[-1] = self.Time.checkTime(stack[-1], n.parent.initTime, self)
if stack[-1].visited:
stack.pop();
continue;
if DFS.checkRepeated(self, n):
stack.pop()
return False
def checkRepeated(self, n):
check = False;
for i in range(0, len(self.visitedNodes)):
if (n.arrival == self.visitedNodes[i].departure) and (n.departure == self.visitedNodes[i].arrival):
check = True;
return check
def checkIfInStack(self, n, stack):
check = False;
if n in stack:
check = True;
return check