def test_top_pop():
"""
Este test prueba la creacion de una cola y que el orden de salida sea
el correcto para la estructura en cuestion, y que el tamaño se reduzca
para cada salida de objeto
"""
stack = st.newStack(list_type)
assert st.size(stack) == 0
assert st.isEmpty(stack)
st.push(stack, book5)
st.push(stack, book6)
st.push(stack, book3)
st.push(stack, book10)
st.push(stack, book1)
st.push(stack, book2)
st.push(stack, book8)
st.push(stack, book4)
st.push(stack, book7)
st.push(stack, book9)
total = st.size(stack)
while not (st.isEmpty(stack)):
top = st.top(stack)
assert (st.pop(stack) == top)
total -= 1
assert (total == st.size(stack))
def PesoDeLaLista(lista):
A = 0
while stack.size(lista) != 0:
b = (stack.pop(lista))
n = b["weight"]
A += float(n)
return A
def ListaConID(lista):
A = []
while stack.size(lista) != 0:
B = (stack.pop(lista))
N = B["vertexB"]
A.append(N)
return A
def printReq3(pila):
i = 1
tamano = stack.size(pila)
while i <= tamano:
cable = stack.pop(pila)
print('Desde ', cable['vertexA'].split('-')[0], ' hasta ', cable['vertexB'].split('-')[0], ' con una distancia de ', cable['weight'])
i+=1
def requerimiento_4(analyzer,station,resistance):
try:
resistance=resistance*60
recorrido= bfs.BreadhtFisrtSearch(analyzer['connections'],station)
size= gr.numVertices(analyzer['connections'])
vertexxx= gr.vertices(analyzer['connections'])
dicc= {}
for i in range(1,size):
ids= lt.getElement(vertexxx,i)
vertice= m.get(analyzer['coordinates_destiny'],ids)['value']['name']
if bfs.hasPathTo(recorrido,ids):
path= bfs.pathTo(recorrido,ids)
sizep= st.size(path)
if sizep != 1 :
init= st.pop(path)
summ= 0
dicc[vertice]= []
while sizep >= 2:
vertex2= st.pop(path)
if vertex2 is None :
break
arco= gr.getEdge(analyzer['connections'],init,vertex2)
summ+= arco['weight']
init= vertex2
if summ > resistance :
dicc[str(vertice)]= None
else:
dicc[str(vertice)].append(poner_bonita_la_ruta(analyzer,arco))
return dicc
except Exception as exp:
error.reraise(exp, 'model;Req_4')
def findShortestPath(analyzer, pais1, pais2):
delta_time = -1.0
delta_memory = -1.0
tracemalloc.start()
start_time = getTime()
start_memory = getMemory()
answer = model.findShortestPath(analyzer, pais1, pais2)
path = []
while st.size(answer[0]) > 0:
step = st.pop(answer[0])
path.append({
'origin': step['vertexA'],
'destination': step['vertexB'],
'distance': step['weight']
})
stop_memory = getMemory()
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
delta_memory = deltaMemory(start_memory, stop_memory)
return analyzer, path, answer[1], delta_time, delta_memory
def routeByResistance(citibike, initialStation, resistanceTime):
try:
dijsktra = djk.Dijkstra(citibike["connections"], initialStation)
vertices = gr.vertices(citibike["connections"])
iterator = it.newIterator(vertices)
trueStations = st.newStack()
stops = m.newMap(numelements=768,
maptype="CHAINING",
loadfactor=1,
comparefunction=compareStopIds)
while it.hasNext(iterator):
element = it.next(iterator)
if element != initialStation and djk.hasPathTo(dijsktra, element) is True:
if m.get(stops, element) is None or getElement(m.get(stops, element))["value"] is False:
if djk.distTo(dijsktra,element) <= resistanceTime:
pila= djk.pathTo(dijsktra,element)
pila2 = djk.pathTo(dijsktra,element)
size_pila = 0
repetition = False
lon_pila = st.size(pila)
watcher = {"value": True}
while size_pila < lon_pila and repetition == False:
pop = st.pop(pila)["vertexB"]
if m.get(stops,pop) is None or getElement(m.get(stops,pop))["value"] is False:
m.put(stops,pop,watcher)
else:
repetition = True
watcher["value"]=False
size_pila +=1
if repetition == False:
st.push(trueStations, pila2)
return trueStations
except:
return None
def test_dfo(graph):
search = dfo.DepthFirstOrder(graph)
assert stack.size(search['reversepost']) == 10
print('')
while not stack.isEmpty(search['reversepost']):
top = stack.pop(search['reversepost'])
print(top)
def printReq3(analyzer, paisB):
path = controller.minimumCostPath(analyzer, paisB)
if path is not None:
distancia = 0
for relacion in lt.iterator(path):
coordenadasVertexA = (controller.getDistanceREQ3(
analyzer, relacion['vertexA']))
coordenadasVertexB = (controller.getDistanceREQ3(
analyzer, relacion['vertexB']))
valorDistancia = controller.haversine(coordenadasVertexA,
coordenadasVertexB)
distancia += valorDistancia
print("\n{0} ==> {1}\tDistancia(km): {2}".format(
relacion['vertexA'], relacion['vertexB'], valorDistancia))
pathlen = stack.size(path)
print(f"\nEl camino es de longitud: {pathlen}")
print(f"\nLa distancia total de la ruta es: {distancia} km.")
return path
else:
print('\nNo existe un camino.')
def optionSix(cont, destStation):
delta_time = -1.0
tracemalloc.start()
start_time = getTime()
jose = m.newMap()
path = controller.minimumCostPath(cont, destStation)
if path is not None:
pathlen = stack.size(path)
while (not stack.isEmpty(path)):
stop = stack.pop(path)
if m.contains(jose, stop['vertexB']) == False:
m.put(jose, stop['vertexB'], 1)
pacho = m.keySet(jose)
arias = lt.size(pacho)
print('Numero de vertices: ' + str(arias))
print("El numero de arcos es: ", pathlen)
else:
print('No hay camino')
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
print("Tiempo [ms]: ", f"{delta_time:.3f}")
def getBestSchedule(graph, pickUp, dropOff, InitialTime, EndTime):
bestSchedule = InitialTime
currentStamp = InitialTime
first = getTime(graph, pickUp, dropOff, currentStamp)
bestTime = first[0]
search = first[1]
while currentStamp != EndTime:
currentStamp = add15(currentStamp)
time = getTime(graph, pickUp, dropOff, currentStamp)
if time[0] < bestTime:
bestSchedule = currentStamp
bestTime = time[0]
search = time[1]
path = []
pathTo = djk.pathTo(search, dropOff)
if pathTo is None:
path = None
else:
while not st.isEmpty(pathTo):
edge = st.pop(pathTo)
Com = edge["vertexA"]
path.append(Com)
if st.size(pathTo) == 0:
Com2 = edge["vertexB"]
path.append(Com2)
return bestSchedule, path, bestTime
def optionSix():
path = controller.routeByResistance(cont, initialStation, resistanceTime)
if path is None:
print("La ruta que introdujiste no existe.")
else:
if stack.isEmpty(path) is False:
for i in range(0, stack.size(path)):
print("\nRuta", i + 1)
sub_pila = stack.pop(path)
for j in range(0, stack.size(sub_pila)):
edge = stack.pop(sub_pila)
print("Segmento", j + 1)
print("Entre", edge["vertexA"], "y", edge["vertexB"],
"te demoras",
float(edge["weight"]) / 60, "minutos")
else:
print("No hay ninguna ruta para ese tiempo estipulado")
def hayarEstaciones(cont, initialStation):
informacion = gr.adjacents(cont["connections"], initialStation)
lista=[]
if stack.isEmpty(informacion) == False:
for i in range(0, stack.size(informacion)):
sub_pila = stack.pop(informacion)
lista.append(sub_pila)
return lista
def optionSix():
path = controller.minimumCostPath(cont, destStation)
if path is not None:
pathlen = stack.size(path)
print('El camino es de longitud: ' + str(pathlen))
while (not stack.isEmpty(path)):
stop = stack.pop(path)
print(stop)
else:
print('No hay camino')
def test_top_pop(stack, books):
assert st.size(stack) == 0
assert st.isEmpty(stack)
st.push(stack, books[5])
st.push(stack, books[6])
st.push(stack, books[3])
st.push(stack, books[10])
st.push(stack, books[1])
st.push(stack, books[2])
st.push(stack, books[8])
st.push(stack, books[4])
st.push(stack, books[7])
st.push(stack, books[9])
total = st.size(stack)
while not (st.isEmpty(stack)):
top = st.top(stack)
assert (st.pop(stack) == top)
total -= 1
assert (total == st.size(stack))
def req3(analyzer,pais1,pais2):
delta_time = -1.0
delta_memory = -1.0
tracemalloc.start()
start_time = getTime()
start_memory = getMemory()
capital1=model.capital(analyzer,pais1.lower())
capital2=model.capital(analyzer,pais2.lower())
if capital1==None or capital2==None:
print('No hay información para los países dados.')
else:
distpath=model.distpath(analyzer,capital1,capital2)
distancia=distpath[0]
path = distpath[1]
print('\nLa distancia total de la ruta es de: '+str(distancia)+' km.')
print('\nLa ruta está dada por: ')
i = 1
inicial = st.size(path)
while i<=inicial:
sub = st.pop(path)
if i == 1:
vertexA = (sub["vertexA"][0]).capitalize() + ", " + (str(pais1)).capitalize()
cableA = "CAPITAL"
else:
place = mp.get(analyzer["name_dado_id"], sub["vertexA"][0])
if place != None:
vertexA = place["value"]
cableA = str(sub["vertexA"][1])
else:
vertexA = sub["vertexA"][0]
cableA = "CAPITAL"
place = mp.get(analyzer["name_dado_id"], sub["vertexB"][0])
if place != None:
vertexB = place["value"]
else:
vertexB = sub["vertexB"][0].upper()
if i>1:
print("-------------------------------------------------------------")
else:
print('')
print(str(vertexA) + " ——> " + str(vertexB) +" || CABLE: "+ cableA +str(" || DISTANCIA (km): ") +str(sub["weight"]))
i += 1
stop_memory = getMemory()
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
delta_memory = deltaMemory(start_memory, stop_memory)
return delta_time,delta_memory
def print_Req3(camino):
if camino is not None:
distCamino = stk.size(camino)
longitud = 0
while (not stk.isEmpty(camino)):
cada_vertice = stk.pop(camino)
longitud += cada_vertice['weight']
print(cada_vertice)
print('El camino es de longitud [km]: ' + str(longitud) + '.')
else:
print('No hay camino.')
def test_sizeStack():
"""
Se prueba la creacion de una cola y la relacion con el
tamaño al ingresar datos
"""
stack = st.newStack(list_type)
assert (st.size(stack) == 0)
assert (st.isEmpty(stack))
st.push(stack, book5)
st.push(stack, book6)
st.push(stack, book3)
st.push(stack, book10)
st.push(stack, book1)
st.push(stack, book2)
st.push(stack, book8)
st.push(stack, book4)
st.push(stack, book7)
st.push(stack, book9)
assert st.size(stack) == 10
def test_error_pop():
"""
Este test busca comprobar que es imposible eliminar un objeto
de una pila vacia
"""
stack = st.newStack(list_type)
assert (st.size(stack) == 0)
assert (st.isEmpty(stack))
with pytest.raises(Exception):
st.pop(stack)
def optionSix(cont, destStation):
respuesta = controller.minimumCostPath(cont, destStation)
path = respuesta[1]
if path is not None:
pathlen = stack.size(path)
print('El camino es de longitud: ' + str(pathlen))
while (not stack.isEmpty(path)):
stop = stack.pop(path)
print(stop)
print("Tiempo [ms]: " + str(respuesta[0]))
else:
print('No hay camino')
def optionSix(cont, destStation):
path1 = controller.minimumCostPath(cont, destStation)
path = path1[1]
if path is not None:
pathlen = stack.size(path)
print('El camino es de longitud: ' + str(pathlen))
while (not stack.isEmpty(path)):
stop = stack.pop(path)
print(stop)
else:
print('No hay camino')
print('Tiempo de ejecucion:', ((path1[0]) / 1000))
def test_infoElements(stack, books):
assert (st.size(stack) == 0)
assert (st.isEmpty(stack))
st.push(stack, books[5])
st.push(stack, books[6])
st.push(stack, books[3])
st.push(stack, books[10])
st.push(stack, books[1])
st.push(stack, books[2])
st.push(stack, books[8])
st.push(stack, books[4])
st.push(stack, books[7])
st.push(stack, books[9])
elem = st.top(stack)
assert (st.size(stack) == 10)
assert (elem == books[9])
elem = st.pop(stack)
assert (st.size(stack) == 9)
assert (elem == books[9])
elem = st.pop(stack)
assert (st.size(stack) == 8)
assert (elem == books[7])
elem = st.top(stack)
assert (st.size(stack) == 8)
assert (elem == books[4])
st.push(stack, books[9])
assert (st.size(stack) == 9)
elem = st.top(stack)
assert (elem == books[9])
def turistInteres(citibike, latitudActual, longitudActual, latitudDestino,
longitudDestino):
"""
Estacion mas cercana a la posicion actual, Estacion mas cercana al destino, (Menor) Tiempo estimado, Lista de estaciones para llegar al destino
"""
actualNearStationID = destinyNearStationID = None
coords = citibike['coords']
actualNear = destinyNear = float('INF')
keyList = m.keySet(coords)
#Conseguir las estaciones mas cercanas al destino
for i in range(m.size(coords)):
key = lt.getElement(keyList, i)
lat, lon, s_e = m.get(coords, key)['value']
lat = float(lat)
lon = float(lon)
distanceToActual = distance(lat, lon, latitudActual, longitudActual)
distanceToDestiny = distance(lat, lon, latitudDestino, longitudDestino)
#s_e esta para verificar que sea entrada o salida
if distanceToActual < actualNear and s_e == 0:
actualNear = distanceToActual
actualNearStationID = key
if distanceToDestiny < destinyNear and s_e == 1:
destinyNear = distanceToDestiny
destinyNearStationID = key
#Obtener el nombre
actualNearStation = getStation(citibike, actualNearStationID)
destinyNearStation = getStation(citibike, destinyNearStationID)
#Usar Dijsktra para conseguir el resto de info
structureActual = djk.Dijkstra(citibike['connections'],
actualNearStationID)
if djk.hasPathTo(structureActual, destinyNearStationID):
tripTime = djk.distTo(structureActual, destinyNearStationID)
stationStack = djk.pathTo(structureActual, destinyNearStationID)
else:
return (actualNearStation, destinyNearStation, float('INF'), None)
#De stack a lista con la informacion pulida
stationList = lt.newList(datastructure='ARRAY_LIST')
for i in range(st.size(stationStack)):
stationD = st.pop(stationStack)
vA = getStation(citibike, stationD["vertexA"])[1]
vB = getStation(citibike, stationD["vertexB"])[1]
lt.addLast(stationList, (vA, vB))
return actualNearStation, destinyNearStation, tripTime, stationList
def MST(analyzer):
analyzer['MST'] = prim.PrimMST(analyzer['connections_distancia'])
suma = 0
contador = 0
for i in lt.iterator(m.valueSet(analyzer['MST']['distTo'])):
suma += i
contador += 1
analyzer['Dij'] = djk.Dijkstra(
analyzer['connections_distancia'],
lt.getElement(gr.vertices(analyzer['connections_distancia']), 5))
maximo = None
distancia = 0
for vertice in lt.iterator(gr.vertices(analyzer['connections_distancia'])):
camino = djk.pathTo(analyzer['Dij'], vertice)
if camino != None:
if st.size(camino) > distancia and distancia != math.inf:
maximo = camino
distancia = st.size(camino)
camino_final = lt.newList()
for conexion in lt.iterator(camino):
try:
int(conexion['vertexA'][0])
verticea = conexion['vertexA'][0]
pareja1 = m.get(analyzer['landing_points'], verticea)
nombrea = me.getValue(pareja1)['name'].split(',')[0]
except:
nombrea = conexion['vertexA'][0]
try:
int(conexion['vertexB'][0])
verticeb = conexion['vertexB'][0]
pareja2 = m.get(analyzer['landing_points'], verticeb)
nombreb = me.getValue(pareja2)['name'].split(',')[0]
except:
nombreb = conexion['vertexB'][0]
conexion = (nombrea, nombreb, conexion['weight'])
lt.addLast(camino_final, conexion)
return (contador, suma, camino_final)
def optionSix(cont, destStation):
ti = time.time()
path = controller.minimumCostPath(cont, destStation)
if path is not None:
pathlen = stack.size(path)
print('El camino es de longitud: ' + str(pathlen))
while (not stack.isEmpty(path)):
stop = stack.pop(path)
print(stop)
else:
print('No hay camino')
tf = time.time()
print('Tiempo de ejecución:', tf - ti)
def optionSix(cont, destStation):
path = controller.minimumCostPath(cont, destStation)
if path[0] is not None:
pathlen = stack.size(path[0])
print('El camino es de longitud: ' + str(pathlen))
while (not stack.isEmpty(path[0])):
stop = stack.pop(path[0])
print(stop)
print("*** Medidas de tiempo y espacio ***")
print("Tiempo [ms]: ", f"{path[1]:.3f}", " || ", "Memoria [kB]: ",
f"{path[2]:.3f}")
else:
print('No hay camino')
def optionFive():
lcao = controller.getstationsinrange(cont, cao, rti, rtf)
mruta = controller.getbestroute(cont, lcao, cad)
print("El mejor horario (hora:minutos) de inicio de viaje: ", mruta)
controller.minimumCostPaths(cont, cao)
path = controller.minimumCostPath(cont, cad)
if path is not None:
pathlen = stack.size(path)
print('El camino es de longitud: ' + str(pathlen))
while (not stack.isEmpty(path)):
stop = stack.pop(path)
print(stop)
else:
print('No hay camino')
def BuscarRutaMasCorta(analyzer, rangoA, rangoB, origen, destino):
A = model.RutaMasRapida(analyzer, rangoA, rangoB, origen, destino)
Inicio = stack.pop(A[0])["vertexA"].split("-")
Duracion = A[1]
print("Ruta de viaje: ")
while stack.size(A[0]) > 1:
B = stack.pop(A[0])["vertexA"].split("-")
print(B[0])
print("------")
n = stack.pop(A[0])["vertexB"].split("-")
print(n[0])
print("-----------------------------------------")
print("Partida del area",Inicio[0],"a la hora",Inicio[1])
print("Duracion en minutos del viaje",str(float(Duracion)/60))
def test_pushElements(stack, books):
st.push(stack, books[5])
st.push(stack, books[6])
st.push(stack, books[3])
st.push(stack, books[10])
st.push(stack, books[1])
st.push(stack, books[2])
st.push(stack, books[8])
st.push(stack, books[4])
st.push(stack, books[7])
st.push(stack, books[9])
assert st.size(stack) == 10
while not st.isEmpty(stack):
element = st.pop(stack)
print(element)
def optionSix(cont, destStation):
start_time = time.perf_counter()
path = controller.minimumCostPath(cont, destStation)
if path is not None:
pathlen = stack.size(path)
print('El camino es de longitud: ' + str(pathlen))
while (not stack.isEmpty(path)):
stop = stack.pop(path)
print(stop)
else:
print('No hay camino')
end_time = time.perf_counter()
operation_time = end_time - start_time
print(operation_time * 1000)
