bus-service: comparison buses.py

-:2c78e68d7363
+:a5bfd99bc2a3
 routes_per_id = {}
 all_trips = {}
 services = {}
 bus_stops = {}
 all_clusters = set()
+viimeinen_käyttöpäivä = None
-print('Ladataan routes... ', file = stderr, end = '', flush = True)
+clusters_by_name = {}
-with open('gtfs/routes.txt') as file:
-	for row in read_csv(file):
-		route = BusRoute(row)
-		routes[route.reference] = route
-		routes_per_id[route.id] = route
-print('%d linjaa' % len(routes), file = stderr)
-print('Ladataan ajovuorot... ', file = stderr, end = '', flush = True)
-shape_distances = {}
-with open('gtfs/shapes.txt') as file:
-	for row in read_csv(file):
-		shape_distances[row['shape_id']] = max(shape_distances.get(row['shape_id'], 0), float(row['shape_dist_traveled']))
-with open('gtfs/trips.txt') as file:
-	for row in read_csv(file):
-		if row['service_id'] not in services:
-			services[row['service_id']] = BusService(row['service_id'])
-		route = routes_per_id[row['route_id']]
-		trip = BusTrip(
-			reference = row['trip_id'],
-			route = route,
-			service = services[row['service_id']],
-			length = shape_distances[row['shape_id']]
-		)
-		route.trips.add(trip)
-		assert trip.name not in all_trips
-		all_trips[trip.name] = trip
-print('%d ajoa' % len(all_trips), file = stderr)
-def read_date(teksti):
-	return date(int(teksti[:4]), int(teksti[4:6]), int(teksti[6:]))
-def read_time(teksti):
-	tunti, minuutti, sekunti = map(int, teksti.split(':'))
-	return timedelta(hours = tunti, minutes = minuutti, seconds = sekunti)
-print('Ladataan päiväykset... ', file = stderr, flush = True)
-viimeinen_käyttöpäivä = date.today()
 services_for_day = {}
-def date_range(start_date, end_date, *, include_end = False):
+def load_buses(gtfs_zip_path, profile):
-	''' Generates date from start_date to end_date. If include_end is True, then end_date will be yielded. '''
+	global viimeinen_käyttöpäivä
-	current_date = start_date
+	from zipfile import ZipFile
-	while current_date < end_date:
+	with ZipFile(gtfs_zip_path) as gtfs_zip:
-		yield current_date
+		print('Ladataan linjat... ', file = stderr, end = '', flush = True)
-		current_date += timedelta(1)
+		with gtfs_zip.open('routes.txt') as file:
-	if include_end:
+			for row in read_csv(map(bytes.decode, file)):
-		yield end_date
+				route = BusRoute(row)
+				routes[route.reference] = route
-def add_day_to_service(service_name, day):
+				routes_per_id[route.id] = route
-	try:
+		print('%d linjaa' % len(routes), file = stderr)
-		service = services[service_name]
-	except KeyError:
+		print('Ladataan ajovuorot... ', file = stderr, end = '', flush = True)
-		return
-	else:
+		shape_distances = {}
-		service.dates.add(day)
+		with gtfs_zip.open('shapes.txt') as file:
-		if day not in services_for_day:
+			for row in read_csv(map(bytes.decode, file)):
-			services_for_day[day] = set()
+				shape_distances[row['shape_id']] = max(shape_distances.get(row['shape_id'], 0), float(row['shape_dist_traveled']))
-		services_for_day[day].add(service)
-		global viimeinen_käyttöpäivä
+		with gtfs_zip.open('trips.txt') as file:
-		viimeinen_käyttöpäivä = max(day, viimeinen_käyttöpäivä)
+			for row in read_csv(map(bytes.decode, file)):
+				if row['service_id'] not in services:
-def filter_day(row, day):
+					services[row['service_id']] = BusService(row['service_id'])
-	day_names = ['monday', 'tuesday', 'wednesday', 'thursday', 'friday', 'saturday', 'sunday']
+				route = routes_per_id[row['route_id']]
-	return int(row[day_names[day.isoweekday() - 1]])
+				trip = BusTrip(
+					reference = row['trip_id'],
-with open('gtfs/calendar.txt') as file:
+					route = route,
-	for row in read_csv(file):
+					service = services[row['service_id']],
-		for day in date_range(read_date(row['start_date']), read_date(row['end_date']), include_end = True):
+					length = shape_distances[row['shape_id']] * float(profile['metrics']['shape-modifier'])
-			if filter_day(row, day):
-				add_day_to_service(service_name = row['service_id'], day = day)
-with open('gtfs/calendar_dates.txt') as file:
-	for row in read_csv(file):
-		add_day_to_service(service_name = row['service_id'], day = read_date(row['date']))
-def services_available_at(day):
-	for service in services.values():
-		if day in service.dates:
-			yield service
-print('Ladataan pysäkit... ', file = stderr, end = '', flush = True)
-with open('gtfs/stops.txt') as file:
-	for row in read_csv(file):
-		location = Sijainti(float(row['stop_lat']), float(row['stop_lon']))
-		stop = BusStop(
-			reference = row['stop_id'],
-			name = row['stop_name'],
-			location = location,
-			code = row['stop_code'],
-		)
-		bus_stops[stop.reference] = stop
-with open('regions-per-stop.json') as file:
-	for stop_reference, region in json.load(file).items():
-		bus_stops[stop_reference].region = region
-print('%d pysäkkiä' % len(bus_stops), file = stderr)
-class BusStopCluster:
-	def __init__(self):
-		self.stops = set()
-		self._center = None
-		self.name = None
-	@property
-	def url_name(self):
-		return self.name.lower().replace('(', '').replace(')', '').replace(' ', '-')
-	def add_stop(self, stop):
-		assert not stop.cluster
-		stop.cluster = self
-		self.stops.add(stop)
-		self._center = None
-	@property
-	def center(self):
-		if not self._center:
-			if self.stops:
-				from statistics import median
-				pointtype = type(next(iter(self.stops)).location)
-				self._center = pointtype(
-					median(stop.location.x for stop in self.stops),
-					median(stop.location.y for stop in self.stops),
 				)
+				route.trips.add(trip)
+				assert trip.name not in all_trips
+				all_trips[trip.name] = trip
+		print('%d ajoa' % len(all_trips), file = stderr)
+		def read_date(teksti):
+			return date(int(teksti[:4]), int(teksti[4:6]), int(teksti[6:]))
+		def read_time(teksti):
+			tunti, minuutti, sekunti = map(int, teksti.split(':'))
+			return timedelta(hours = tunti, minutes = minuutti, seconds = sekunti)
+		print('Ladataan päiväykset... ', file = stderr, flush = True)
+		viimeinen_käyttöpäivä = date.today()
+		def date_range(start_date, end_date, *, include_end = False):
+			''' Generates date from start_date to end_date. If include_end is True, then end_date will be yielded. '''
+			current_date = start_date
+			while current_date < end_date:
+				yield current_date
+				current_date += timedelta(1)
+			if include_end:
+				yield end_date
+		def add_day_to_service(service_name, day):
+			try:
+				service = services[service_name]
+			except KeyError:
+				return
 			else:
-				raise ValueError('an empty cluster has no center point')
+				service.dates.add(day)
-		return self._center
+				if day not in services_for_day:
-	def merge(self, other):
+					services_for_day[day] = set()
-		for bus_stop in other.stops:
+				services_for_day[day].add(service)
-			bus_stop.cluster = self
+				global viimeinen_käyttöpäivä
-		self.stops |= other.stops
+				viimeinen_käyttöpäivä = max(day, viimeinen_käyttöpäivä)
-		other.stops = set()
-		other._center = None
+		def filter_day(row, day):
-	def schedule(self, max_amount = 50):
+			day_names = ['monday', 'tuesday', 'wednesday', 'thursday', 'friday', 'saturday', 'sunday']
-		result = []
+			return int(row[day_names[day.isoweekday() - 1]])
-		for stop in self.stops:
-			result += stop.schedule(max_amount)
+		with gtfs_zip.open('calendar.txt') as file:
-		result.sort(key = lambda schedule_entry: schedule_entry['time'])
+			for row in read_csv(map(bytes.decode, file)):
-		return result[:max_amount]
+				for day in date_range(read_date(row['start_date']), read_date(row['end_date']), include_end = True):
+					if filter_day(row, day):
-from collections import defaultdict
+						add_day_to_service(service_name = row['service_id'], day = day)
-bus_stops_by_name = defaultdict(set)
-for bus_stop in bus_stops.values():
+		with gtfs_zip.open('calendar_dates.txt') as file:
-	bus_stops_by_name[bus_stop.name].add(bus_stop)
+			for row in read_csv(map(bytes.decode, file)):
-bus_stops_by_name = dict(bus_stops_by_name)
+				add_day_to_service(service_name = row['service_id'], day = read_date(row['date']))
-# ryhmittele bus_stops nimen mukaan
+		def services_available_at(day):
-all_clusters = []
+			for service in services.values():
-def cluster_bus_stops():
+				if day in service.dates:
-	sorted_bus_stops = sorted(bus_stops.values(), key = lambda bus_stop: bus_stop.name)
+					yield service
-	for bus_stop in sorted_bus_stops:
-		if not bus_stop.cluster:
+		print('Ladataan pysäkit... ', file = stderr, end = '', flush = True)
-			stops_to_cluster = {bus_stop}
+		with gtfs_zip.open('stops.txt') as file:
-			# etsi pysäkin samannimiset vastaparit
+			for row in read_csv(map(bytes.decode, file)):
-			for pair_candidate in bus_stops_by_name[bus_stop.name]:
+				location = Sijainti(float(row['stop_lat']), float(row['stop_lon']))
-				distance = pair_candidate.location.etäisyys(bus_stop.location)
+				stop = BusStop(
-				if pair_candidate is not bus_stop and distance <= 0.4:
+					reference = row['stop_id'],
-					stops_to_cluster.add(pair_candidate)
+					name = row['stop_name'],
-			for stop_to_cluster in stops_to_cluster:
+					location = location,
-				if stop_to_cluster.cluster:
+					code = row['stop_code'],
-					cluster = stop_to_cluster.cluster
+				)
-					break
+				bus_stops[stop.reference] = stop
+		with open('regions-per-stop.json') as file:
+			for stop_reference, region in json.load(file).items():
+				bus_stops[stop_reference].region = region
+		print('%d pysäkkiä' % len(bus_stops), file = stderr)
+		class BusStopCluster:
+			def __init__(self):
+				self.stops = set()
+				self._center = None
+				self.name = None
+			@property
+			def url_name(self):
+				return self.name.lower().replace('(', '').replace(')', '').replace(' ', '-')
+			def add_stop(self, stop):
+				assert not stop.cluster
+				stop.cluster = self
+				self.stops.add(stop)
+				self._center = None
+			@property
+			def center(self):
+				if not self._center:
+					if self.stops:
+						from statistics import median
+						pointtype = type(next(iter(self.stops)).location)
+						self._center = pointtype(
+							median(stop.location.x for stop in self.stops),
+							median(stop.location.y for stop in self.stops),
+						)
+					else:
+						raise ValueError('an empty cluster has no center point')
+				return self._center
+			def merge(self, other):
+				for bus_stop in other.stops:
+					bus_stop.cluster = self
+				self.stops |= other.stops
+				other.stops = set()
+				other._center = None
+			def schedule(self, max_amount = 50):
+				result = []
+				for stop in self.stops:
+					result += stop.schedule(max_amount)
+				result.sort(key = lambda schedule_entry: schedule_entry['time'])
+				return result[:max_amount]
+		from collections import defaultdict
+		bus_stops_by_name = defaultdict(set)
+		for bus_stop in bus_stops.values():
+			bus_stops_by_name[bus_stop.name].add(bus_stop)
+		bus_stops_by_name = dict(bus_stops_by_name)
+		# ryhmittele bus_stops nimen mukaan
+		all_clusters = []
+		def cluster_bus_stops():
+			sorted_bus_stops = sorted(bus_stops.values(), key = lambda bus_stop: bus_stop.name)
+			for bus_stop in sorted_bus_stops:
+				if not bus_stop.cluster:
+					stops_to_cluster = {bus_stop}
+					# etsi pysäkin samannimiset vastaparit
+					for pair_candidate in bus_stops_by_name[bus_stop.name]:
+						distance = pair_candidate.location.etäisyys(bus_stop.location)
+						if pair_candidate is not bus_stop and distance <= 0.4:
+							stops_to_cluster.add(pair_candidate)
+					for stop_to_cluster in stops_to_cluster:
+						if stop_to_cluster.cluster:
+							cluster = stop_to_cluster.cluster
+							break
+					else:
+						cluster = BusStopCluster()
+						all_clusters.append(cluster)
+					for stop_to_cluster in stops_to_cluster:
+						if not stop_to_cluster.cluster:
+							cluster.add_stop(stop_to_cluster)
+			# Merkitse muistiin pysäkkien vastaparit käyttäen hyväksi tämänhetkistä ryhmittelytietoa
+			for bus_stop in bus_stops.values():
+				if bus_stop.cluster:
+					bus_stop.pairs = bus_stop.cluster.stops - {bus_stop}
+			# Ryhmitä ne bus_stops, joilla ei ollut omaa vastaparia, muiden pysäkkien kanssa
+			for bus_stop in sorted_bus_stops:
+				if len(bus_stop.cluster.stops) == 1:
+					possibilities = set()
+					for cluster in all_clusters:
+						if cluster is not bus_stop.cluster:
+							distance = cluster.center.etäisyys(bus_stop.location)
+							if distance <= 0.4:
+								possibilities.add((distance, cluster))
+					if possibilities:
+						best = min(possibilities)[1]
+						all_clusters.remove(bus_stop.cluster)
+						best.merge(bus_stop.cluster)
+		def shared_elements_in_n_sets(sets):
+			from itertools import combinations
+			result = set()
+			for pair in combinations(sets, 2):
+				result |= pair[0] & pair[1]
+			return result
+		def name_clusters():
+			from collections import defaultdict
+			from pprint import pprint
+			clusters_per_name = defaultdict(set)
+			for cluster in all_clusters:
+				name_representing_stop = min((len(stop.reference), stop.reference, stop) for stop in cluster.stops)[2]
+				clusters_per_name[name_representing_stop.name].add(cluster)
+			for name, clusters in clusters_per_name.items():
+				if len(clusters) == 1:
+					# Ryhmä on ainoa jolla on varaus tälle nimelle. Sen kuin vaan.
+					next(iter(clusters)).name = name
+				else:
+					# Olisiko kaikki klusterit eri alueilla?
+					common_regions = shared_elements_in_n_sets({stop.region for stop in cluster.stops} for cluster in clusters)
+					# Esitys: ryhmä -> ne alueet jotka ovat tälle ryhmälle ainutlaatuisia
+					proposal = {
+						cluster: {stop.region for stop in cluster.stops} - common_regions - {None}
+						for cluster in clusters
+					}
+					# Jos enintään yksi klusteri tässä esityksessä on kokonaan ilman omaa aluetta, jolla se voisi eritellä,
+					# niin nimetään klusterit näiden alueiden mukaan.
+					# Se klusteri jolla ei ole omaa aluetta (jos on) jätetään ilman aluepäätettä.
+					if sum([1 for unique_areas in proposal.values() if not unique_areas]) <= 1:
+						for cluster, unique_areas in proposal.items():
+							individual_cluster_name = name
+							if unique_areas:
+								individual_cluster_name += ' (' + min(unique_areas) + ')'
+							cluster.name = individual_cluster_name
+					else:
+						# Typerä reunatapaus. Indeksoidaan numeroin...
+						for n, (_, cluster) in enumerate(sorted(
+							min((stop.reference.lower(), cluster) for stop in cluster.stops)
+							for cluster in clusters
+						), 1):
+							individual_cluster_name = name + '-' + str(n)
+							cluster.name = individual_cluster_name
+		print('Ryhmitellään pysäkit...')
+		cluster_bus_stops()
+		name_clusters()
+		for cluster in all_clusters:
+			if cluster.url_name in clusters_by_name:
+				print('Warning: Clusters %r and %r share the same URL name: %r' % (cluster.name, clusters_by_name[cluster.url_name].name, cluster.url_name))
 			else:
-				cluster = BusStopCluster()
+				clusters_by_name[cluster.url_name] = cluster
-				all_clusters.append(cluster)
-			for stop_to_cluster in stops_to_cluster:
+		print('Ladataan aikataulut... ', end = '', flush = True, file = stderr)
-				if not stop_to_cluster.cluster:
+		with gtfs_zip.open('stop_times.txt') as file:
-					cluster.add_stop(stop_to_cluster)
+			row_count = sum(line.count(b'\n') for line in file)
-	# Merkitse muistiin pysäkkien vastaparit käyttäen hyväksi tämänhetkistä ryhmittelytietoa
+		with gtfs_zip.open('stop_times.txt') as file:
-	for bus_stop in bus_stops.values():
+			progress = 0
-		if bus_stop.cluster:
+			for row in read_csv(map(bytes.decode, file)):
-			bus_stop.pairs = bus_stop.cluster.stops - {bus_stop}
+				trip = all_trips[transform_trip_reference(row['trip_id'])]
-	# Ryhmitä ne bus_stops, joilla ei ollut omaa vastaparia, muiden pysäkkien kanssa
+				arrival_time = read_time(row['arrival_time'])
-	for bus_stop in sorted_bus_stops:
+				departure_time = read_time(row['departure_time'])
-		if len(bus_stop.cluster.stops) == 1:
+				stop = bus_stops[row['stop_id']]
-			possibilities = set()
+				traveled_distance = float(row['shape_dist_traveled']) * float(profile['metrics']['shape-modifier'])
-			for cluster in all_clusters:
+				trip.schedule.append(BusHalt(arrival_time, departure_time, stop, trip, traveled_distance))
-				if cluster is not bus_stop.cluster:
+				stop.involved_trips.add(trip)
-					distance = cluster.center.etäisyys(bus_stop.location)
+				progress += 1
-					if distance <= 0.4:
+				if progress % 1000 == 0:
-						possibilities.add((distance, cluster))
+					print('\rLadataan aikataulut... %.1f%%' % (progress * 100 / row_count), end = ' ', file = stderr)
-			if possibilities:
+		print('\rLadataan aikataulut... ladattu', file = stderr)
-				best = min(possibilities)[1]
-				all_clusters.remove(bus_stop.cluster)
+		for trip in all_trips.values():
-				best.merge(bus_stop.cluster)
+			from busroute import simplify_name
+			schedule = trip.concise_schedule()
-def shared_elements_in_n_sets(sets):
+			try:
-	from itertools import combinations
+				trip.from_place = simplify_name(schedule[0])
-	result = set()
+				trip.to_place = simplify_name(schedule[-1])
-	for pair in combinations(sets, 2):
+			except IndexError:
-		result |= pair[0] & pair[1]
+				trip.from_place = ''
-	return result
+				trip.to_place = ''
-def name_clusters():
+		for route in routes.values():
-	from collections import defaultdict
+			from collections import Counter
-	from pprint import pprint
+			from busroute import simplify_name
-	clusters_per_name = defaultdict(set)
+			tally = Counter()
-	for cluster in all_clusters:
+			for trip in route.trips:
-		name_representing_stop = min((len(stop.reference), stop.reference, stop) for stop in cluster.stops)[2]
+				schedule = trip.concise_schedule()
-		clusters_per_name[name_representing_stop.name].add(cluster)
+				places = set(schedule)
-	for name, clusters in clusters_per_name.items():
+				do_add = True
-		if len(clusters) == 1:
+				assert type(schedule) is list
-			# Ryhmä on ainoa jolla on varaus tälle nimelle. Sen kuin vaan.
+				for candidate in tally:
-			next(iter(clusters)).name = name
+					if places.issubset(set(candidate)):
-		else:
+						do_add = False
-			# Olisiko kaikki klusterit eri alueilla?
+						tally.update({tuple(candidate)})
-			common_regions = shared_elements_in_n_sets({stop.region for stop in cluster.stops} for cluster in clusters)
+				if do_add:
-			# Esitys: ryhmä -> ne alueet jotka ovat tälle ryhmälle ainutlaatuisia
+					tally.update({tuple(schedule)})
-			proposal = {
+			try:
-				cluster: {stop.region for stop in cluster.stops} - common_regions - {None}
+				most_common_route = tally.most_common(1)[0][0]
-				for cluster in clusters
+				route.description = simplify_name(most_common_route[0]) + ' - ' + simplify_name(most_common_route[-1])
-			}
+			except:
-			# Jos enintään yksi klusteri tässä esityksessä on kokonaan ilman omaa aluetta, jolla se voisi eritellä,
+				route.description = ''
-			# niin nimetään klusterit näiden alueiden mukaan.
+			route.trips = sorted(route.trips, key = lambda trip: trip.schedule[0].departure_time)
-			# Se klusteri jolla ei ole omaa aluetta (jos on) jätetään ilman aluepäätettä.
-			if sum([1 for unique_areas in proposal.values() if not unique_areas]) <= 1:
+		# Fölin datassa on jotain tosi kummaa. Ilmeisesti ajovuoron viimeisen pysähdyksen saapumisaika on ihan täysin
-				for cluster, unique_areas in proposal.items():
+		# väärin. Arvaan että se on seuraavan lähdön aika, mutta joka tapauksessa se on väärin.
-					individual_cluster_name = name
+		# Arvataan mikä se todellinen saapumisaika on. Se ei voi mennä kauhean paljon pahemmin vikaan kuin alkuperäinen
-					if unique_areas:
+		# väärin oleva data.
-						individual_cluster_name += ' (' + min(unique_areas) + ')'
+		for trip in all_trips.values():
-					cluster.name = individual_cluster_name
+			bus_speed_coefficient = 750 # metriä minuutissa
-			else:
+			last_leg_distance = trip.schedule[-1].traveled_distance - trip.schedule[-2].traveled_distance
-				# Typerä reunatapaus. Indeksoidaan numeroin...
+			trip.schedule[-1].arrival_time = trip.schedule[-2].departure_time + timedelta(minutes = last_leg_distance / bus_speed_coefficient)
-				for n, (_, cluster) in enumerate(sorted(
-					min((stop.reference.lower(), cluster) for stop in cluster.stops)
+if __name__ == '__main__':
-					for cluster in clusters
+	from configparser import ConfigParser
-				), 1):
+	profile = ConfigParser()
-					individual_cluster_name = name + '-' + str(n)
+	profile.read('profiles/föli.ini')
-					cluster.name = individual_cluster_name
+	load_buses('gtfs.zip', profile)
-print('Ryhmitellään pysäkit...')
-cluster_bus_stops()
-name_clusters()
-clusters_by_name = {}
-for cluster in all_clusters:
-	if cluster.url_name in clusters_by_name:
-		print('Warning: Clusters %r and %r share the same URL name: %r' % (cluster.name, clusters_by_name[cluster.url_name].name, cluster.url_name))
-	else:
-		clusters_by_name[cluster.url_name] = cluster
-print('Ladataan aikataulut... ', end = '', flush = True, file = stderr)
-with open('gtfs/stop_times.txt') as file:
-	row_count = sum(line.count('\n') for line in file)
-	progress = 0
-	file.seek(0)
-	for row in read_csv(file):
-		trip = all_trips[transform_trip_reference(row['trip_id'])]
-		arrival_time = read_time(row['arrival_time'])
-		departure_time = read_time(row['departure_time'])
-		stop = bus_stops[row['stop_id']]
-		traveled_distance = float(row['shape_dist_traveled'])
-		trip.schedule.append(BusHalt(arrival_time, departure_time, stop, trip, traveled_distance))
-		stop.involved_trips.add(trip)
-		progress += 1
-		if progress % 1000 == 0:
-			print('\rLadataan aikataulut... %.1f%%' % (progress * 100 / row_count), end = ' ', file = stderr)
-print('\rLadataan aikataulut... ladattu', file = stderr)
-for trip in all_trips.values():
-	from busroute import simplify_name
-	schedule = trip.concise_schedule()
-	try:
-		trip.from_place = simplify_name(schedule[0])
-		trip.to_place = simplify_name(schedule[-1])
-	except IndexError:
-		trip.from_place = ''
-		trip.to_place = ''
-for route in routes.values():
-	from collections import Counter
-	from busroute import simplify_name
-	tally = Counter()
-	for trip in route.trips:
-		schedule = trip.concise_schedule()
-		places = set(schedule)
-		do_add = True
-		assert type(schedule) is list
-		for candidate in tally:
-			if places.issubset(set(candidate)):
-				do_add = False
-				tally.update({tuple(candidate)})
-		if do_add:
-			tally.update({tuple(schedule)})
-	try:
-		most_common_route = tally.most_common(1)[0][0]
-		route.description = simplify_name(most_common_route[0]) + ' - ' + simplify_name(most_common_route[-1])
-	except:
-		route.description = ''
-	route.trips = sorted(route.trips, key = lambda trip: trip.schedule[0].departure_time)

Mercurial > bus-service / file comparison

comparison: buses.py

buses.py