def expandBusMatrix(self):
"""
"""
# Do a matrix the size of the train info matrix full of zeros
matrix_parser = AdjacencyMatrixParser()
matrix_parser.loadFile(MA_PATH)
matrix_parser.parse()
train_costs = matrix_parser.values
matrix_parser.closeFile()
zero_list = []
for element in train_costs:
sub_list = []
for element2 in element:
sub_list.append(0)
zero_list.append(sub_list)
# Load info of the trolleybus costs
matrix_parser.loadFile(TROLEI_BUS_MA_PATH)
matrix_parser.parse()
bus_costs = matrix_parser.values
matrix_parser.closeFile()
# Load the information of the trolleybus
bus_parser = CityInfoParser()
bus_parser.loadFile(TROLEI_BUS_INFO_PATH)
bus_parser.parse()
bus_info = bus_parser.info
# Iterate twice over the bus_info dictionary and move the values in it's
# adjacency matrix to the zero_list
i = 0
bus_info_keys = bus_info.keys()
bus_info_keys.sort()
for id in bus_info_keys:
j = 0
bus_info_keys_2 = bus_info.keys()
bus_info_keys_2.sort()
for id2 in bus_info_keys_2:
m, n = ((id2, id) if id < id2 else (id, id2))
x, y = ((j, i) if i < j else (i, j))
zero_list[m-1][n-1] = bus_costs[x][y]
j += 1
i += 1
return zero_list
def main():
"""
Method used for testing the performance and the correctness of the implemented
A* and BFS algorithms along with the parsers.
Comment / Uncomment code to test different features of the software.
"""
# Load the information of the city
train_parser = CityInfoParser()
train_parser.loadFile(CITY_INFO_PATH)
train_parser.parse()
train_parser.setDistances()
train_info = train_parser.info
distances = train_parser.distances
# Load the information of the troleibus (distances are the same as the train)
bus_parser = CityInfoParser()
bus_parser.loadFile(TROLEI_BUS_INFO_PATH)
bus_parser.parse()
bus_info = bus_parser.info
# Load the information of the train costs
matrix_parser = AdjacencyMatrixParser()
matrix_parser.loadFile(MA_PATH)
matrix_parser.parse()
train_costs = matrix_parser.values
matrix_parser.closeFile()
# Load info of the troleibus costs
matrix_parser.loadFile(TROLEI_BUS_MA_PATH)
matrix_parser.parse()
bus_costs = matrix_parser.values
matrix_parser.closeFile()
# Open an instance of cost manager to provide custom results
# in some cases.
costs_manager = CostsManager()
########################################
# Add both the bus and the train info on the same matrix
# costs_aux = copy.deepcopy(train_costs)
# for x in enumerate(costs_aux):
# print(x)
costs = costs_manager.combineCosts(train_info, bus_info, train_costs, bus_costs)
# print(pprint.pformat(enumerate(costs)))
# for x in enumerate(costs):
# print(x)
# print(costs == costs_aux)
# # Count differences (debug)
# count = 0
# for i in range(len(costs)):
# for j in range(len(costs[i])):
# if (costs[i][j] != costs_aux[i][j]):
# count += 1
# print("Count: ", count)
# return
# Set transfer costs really high so they are ignored
# costs_manager.setTransferCost(info_parser.info, costs, 999)
#########################################
# Walking costs
costs = costs_manager.setWalkingCostsWithDistances(
costs,
distances,
multiplier = WALK_MULTIPLIER
)
# Set up the A* algorithm
search = SearchStrategies()
search.setCosts(costs)
search.setHeuristic(distances)
search.setIgnore(0)
# Run the algorithm
# way = search.aStar(1, 24, start_at=1)
way = search.BFS(1, 24, start_at=1)
print 'Result:', way
def run(self):
"""
Takes the options (input from the user) and processes it in order to
give a customizable output, which is later on moved to a textctrl
widget.
"""
# Get the state of the check boxes
walking_selected = self.walking_cb.GetValue()
subway_selected = self.subway_cb.GetValue()
trolleybus_selected = self.trolleybus_cb.GetValue()
# Get the state of the radio boxes
minimize_stations = self.stations_rb.GetValue()
minimize_transfers = self.transfers_rb.GetValue()
minimize_cost = self.costs_rb.GetValue()
# Get the origin selected - if no origin selected -> error
selected = self.choice_origin.GetCurrentSelection()
if selected == -1:
return self.error("No origin selected.")
origin = self.list_origin[selected]
origin_id = self.stationStringToId(origin)
# Get the destiny selected - if no destination is selected -> error
selected = self.choice_destiny.GetCurrentSelection()
if selected == -1:
return self.error("No destiny selected.")
destiny = self.list_destiny[selected]
destiny_id = self.stationStringToId(destiny)
#### Use the logic obtained to run the algorithm
## Error checking
# Check if the user selected at least one of the check boxes
if not (walking_selected or subway_selected or trolleybus_selected):
return self.error("Please select some vehicle.")
# If we selected trolleybus, check for a valid destiny and origin
if trolleybus_selected and not subway_selected and not walking_selected:
trolleybus_ids = self.gettrolleybusIdList()
found = False
for id in origin_id:
if id in trolleybus_ids:
found = True
if not found:
return self.error("This origin isn't possible when we use trolleybus.")
found = False
for id in destiny_id:
if id in trolleybus_ids:
found = True
if not found:
return self.error("Unreachable destiny via trolleybus.")
# Check if the user selected the same origin and destiny
if origin_id == destiny_id:
return self.output_text.ChangeValue("You are already there.")
## /Error checking
## Use selected options to manage the data to run the algorithm
# Load the information of the city
train_parser = CityInfoParser()
train_parser.loadFile(CITY_INFO_PATH)
train_parser.parse()
train_parser.setDistances()
train_info = train_parser.info
distances = train_parser.distances
# Load the information of the trolleybus (distances are the same as the train)
bus_parser = CityInfoParser()
bus_parser.loadFile(TROLEI_BUS_INFO_PATH)
bus_parser.parse()
bus_info = bus_parser.info
# Load the information of the train costs
matrix_parser = AdjacencyMatrixParser()
matrix_parser.loadFile(MA_PATH)
matrix_parser.parse()
train_costs = matrix_parser.values
matrix_parser.closeFile()
# Load info of the trolleybus costs
matrix_parser.loadFile(TROLEI_BUS_MA_PATH)
matrix_parser.parse()
bus_costs = matrix_parser.values
matrix_parser.closeFile()
# Open an instance of cost manager to provide custom results
# in some cases.
costs_manager = CostsManager()
if subway_selected and trolleybus_selected:
costs = costs_manager.combineCosts(train_info, bus_info, train_costs, bus_costs)
elif subway_selected:
costs = train_costs
elif walking_selected and not subway_selected and not trolleybus_selected:
costs = self.makeWalkingMatrix(distances)
elif walking_selected and trolleybus_selected:
costs = self.expandBusMatrix()
else:
costs = bus_costs
if walking_selected and (subway_selected or trolleybus_selected):
costs = costs_manager.setWalkingCostsWithDistances(
costs,
distances,
multiplier = WALK_MULTIPLIER
)
if minimize_transfers:
if subway_selected:
costs_manager.setTransferCost(train_parser.info, costs, 999)
elif trolleybus_selected:
costs_manager.setTransferCost(bus_parser.info, costs, 999)
# Set up the algorithm
search = SearchStrategies()
search.setCosts(costs)
search.setHeuristic(distances)
search.setIgnore(0)
# Run the algorithm
# If we only selected walking option, let the user go directly to their destination
if walking_selected and not trolleybus_selected and not subway_selected:
result = [destiny_id[0] - 1, origin_id[0] - 1] # substract -1 to normalize, enumeration starts with n=1
# Select the optimum way in case we have stations with same name (multiple IDs station)
elif minimize_stations:
result_list = []
for id in origin_id:
for id2 in destiny_id:
result_list.append(search.BFS(id, id2, start_at = 1))
bird = len
result_list.sort(key=bird) # The key is the bird
result = result_list[0]
else:
result_list = []
for id in origin_id:
for id2 in destiny_id:
print(id, id2)
result_list.append(search.aStar(id, id2, start_at = 1))
bird = len
result_list.sort(key=bird)
result = result_list[0]
# We process the result in order to display a nice output to the user
# We do that because the algorithms return a boring list of numbers.
self.output_text.Clear()
walking_costs = self.makeWalkingMatrix(distances)
# Helper method to calculate the optimum way of traversing from two
# stations id given the actual options.
def wayCheck(id1, id2):
"""
Helper function.
Returns 1, 2 or 3 depending on whether the optimum way of going from
id1 to id2 is by train (subway), bus or walking.
@id1 (int): station_id1
@id2 (int): station_id2
"""
# id1, id2 = id1-1, id2-1
patata = False
if id2>id1:
id1,id2=id2,id1
if walking_selected:
costCaminant = walking_costs[id1-1][id2-1]
if trolleybus_selected:
ola=False
busList = self.gettrolleybusIdList()
if id2==18:
ola=True
id2,id1=id1,38
print busList
print id1 , id2 ,id1 in busList and id2 in busList
if id1 in busList and id2 in busList:
patata = True
sorted_dict_keys = bus_parser.info.keys()
sorted_dict_keys.sort()
for n, i in enumerate(sorted_dict_keys):
if id1 == i:
break
for n2, j in enumerate(sorted_dict_keys):
if id2 == j:
break
if n2>n:
n2,n = n,n2
costBus = bus_costs[n][n2]
if ola:
id1,id2=id2,18
if subway_selected:
if id1==38:
xx,yy=17,id2-1
if xx<yy:
xx,yy=yy,xx
if train_costs[xx][yy]!=0 and train_costs[37][id2-1]==0:
id1=18
if id1<id2:
id2,id1=id1,id2
costsubway = train_costs[id1-1][id2-1]
if subway_selected and not trolleybus_selected and not walking_selected:
#100
return 1
elif not subway_selected and trolleybus_selected and not walking_selected:
#010
return 2
elif not subway_selected and not trolleybus_selected and walking_selected:
#001
return 3
elif subway_selected and not trolleybus_selected and walking_selected:
#101
if costsubway==0:
return 3
x = min(costsubway,costCaminant)
if x==costsubway:
return 1
elif x==costCaminant:
return 3
else:
raise ValueError()
elif subway_selected and trolleybus_selected and not walking_selected and patata:
#110
if costsubway==0:
return 2
elif costBus==0:
return 1
else:
x = min(costsubway,costBus)
if x==costsubway:
return 1
elif x==costBus:
return 2
else:
raise ValueError()
elif subway_selected and trolleybus_selected and not walking_selected and not patata:
return 1
elif not subway_selected and trolleybus_selected and walking_selected and patata:
#011
if costBus==0:
return 3
x = min(costBus,costCaminant)
if x==costBus:
return 2
elif x==costCaminant:
return 3
else:
raise ValueError()
elif not subway_selected and trolleybus_selected and walking_selected and not patata:
return 3
elif subway_selected and trolleybus_selected and walking_selected and patata:
#111
if costsubway==0 and costBus==0:
return 3
elif costsubway==0:
x = min(costBus,costCaminant)
if x==costBus:
return 2
elif x==costCaminant:
return 3
else:
raise ValueError()
elif costBus==0:
x = min(costsubway,costCaminant)
if x==costsubway:
return 1
elif x==costCaminant:
return 3
else:
raise ValueError()
else:
x = min(costsubway,costCaminant,costBus)
if x==costsubway:
return 1
elif x==costCaminant:
return 3
elif x==costBus:
return 2
else:
raise ValueError()
elif subway_selected and trolleybus_selected and walking_selected and not patata:
if costsubway==0:
return 3
x = min(costsubway,costCaminant)
if x==costsubway:
return 1
elif x==costCaminant:
return 3
else:
raise ValueError()
else:
raise ValueError()
result.reverse()
###### Parse 2 per arreglar error
matrix_parser = AdjacencyMatrixParser()
matrix_parser.loadFile(MA_PATH)
matrix_parser.parse()
train_costs = matrix_parser.values
matrix_parser.closeFile()
print "result", result
result = map(lambda num: num+1, result) # Increment each result by one
print "result",result
station_id1=result[0]
for n, station_id2 in enumerate(result[1:], start=1):
number = wayCheck(station_id1,station_id2)
print "station ids: ", station_id1, station_id2
origen_station = self.stationIdToString(station_id1)
destiny_station = self.stationIdToString(station_id2)
station_id1=station_id2
self.output_text.AppendText(str(n) + ") " + origen_station + " -> " + destiny_station +": ")
if number == 1:
self.output_text.AppendText("Subway")
elif number == 2:
self.output_text.AppendText("Trolleybus")
elif number == 3:
self.output_text.AppendText("Walking")
else:
raise ValueError()
if origen_station == destiny_station:
self.output_text.AppendText(" (transfer)")
self.output_text.AppendText("\n")
# Move selection of text ctrl to topleft
self.output_text.ShowPosition(0)