#Transfors the priority queue into an array of strings
def adaptSolution(node):
path = []
finalCost = node.cost
while node.parentNode:
path.append("(" + str(node.movement[0]) + ", " +
str(node.movement[1]) + "); ")
node = node.parentNode
return finalCost, path
#Read the input file
reader = InputReader()
data = reader.read()
#print data
#Store the reading results in the global variables
maxHeight = data[0]
initialConfiguration = data[1]
goalState = data[2]
cost = 0
path = []
#Search
if searchingByBFS():
cost, path = adaptSolution(success)
#Print solution
if len(path) > 0:
print(len(visitedNodes))
acumAux = 0.0 if not denominator: acumAux = 1.0 if denominator: relevants = getRelevants(denominator) combinations = combinateRelevants(relevants) if combinations: for combination in combinations: fullList = denominator+ combination acumAux += chain(fullList) else: fullList = denominator acumAux += chain(fullList) result = round(acum/acumAux,7) print (result) reader = InputReader() nodes, queries = reader.read() for query in queries: convertToJoinProb(query) #noChilds= getNodesWithoutChilds(["-Alarm", "+JohnCalls","-Earthquake", "-MaryCalls", "+Burglary"]) #noChilds= getNodesWithoutChilds(["-Earthquake", "-Alarm", "+Burglary"]) #noChilds= getNodesWithoutChilds(["-Earthquake", "+Burglary"])
