diff -r 2bc0529d44a5 -r 13f3a909ac70 compute-regions.py
--- a/compute-regions.py	Thu Dec 06 19:35:38 2018 +0200
+++ b/compute-regions.py	Thu Dec 06 19:36:27 2018 +0200
@@ -4,54 +4,94 @@
 from geometry import *
 from zipfile import ZipFile
 from configparser import ConfigParser
-from regions import parse_regions
-
-representatives = {}
-
-regions = parse_regions(sys.argv[2])
-bus_stops = {}
-block_factor = 0.005
 
 class Blockmap:
-	''' Models a map of blocks. Maps each location to a square area. '''
+	'''
+	Models a map of blocks. Maps each location to a square area.
+	'''
+	block_factor = 0.005
 	def __init__(self, default = None):
 		from collections import defaultdict
 		self.blocks = default or defaultdict(set)
 	def __getitem__(self, blockid):
-		''' Returns a block for block coordinates. The block is a set that can contain anything. '''
+		'''
+		Returns a block for block coordinates. The block is a set that can
+		contain anything.
+		'''
 		return self.blocks[blockid]
 	def blockpoint(self, point):
-		''' Returns a block point for a location. The block point is a coordinate in the blockmap. '''
-		return int(point.x / block_factor), int(point.y / block_factor)
+		'''
+		Returns a block point for a location. The block point is a
+		coordinate in the blockmap.
+		'''
+		block_coordinate = lambda x: int(x / self.block_factor)
+		return block_coordinate(point.x), block_coordinate(point.y)
+
+def minmax(data):
+	'''
+	From: http://code.activestate.com/recipes/577916-fast-minmax-function/
+	Computes the minimum and maximum values in one-pass using only
+	1.5*len(data) comparisons
+	'''
+	import itertools
+	it = iter(data)
+	try:
+		lo = hi = next(it)
+	except StopIteration:
+		raise ValueError('minmax() arg is an empty sequence')
+	for x, y in itertools.zip_longest(it, it, fillvalue = lo):
+		if x > y:
+			x, y = y, x
+		lo = min(x, lo)
+		hi = max(y, hi)
+	return lo, hi
 
 def blocks_in_shape(blockmap, shape):
-	''' Finds all blocks inside the bounding box of a shape. '''
-	min_x = min(point.x for point in shape.points)
-	min_y = min(point.y for point in shape.points)
-	max_x = max(point.x for point in shape.points)
-	max_y = max(point.y for point in shape.points)
+	'''
+	Finds all blocks inside the bounding box of a shape.
+	'''
+	from itertools import product
+	min_x, max_x = minmax(point.x for point in shape.points)
+	min_y, max_y = minmax(point.y for point in shape.points)
 	min_blockpoint = blockmap.blockpoint(Location(min_x, min_y))
 	max_blockpoint = blockmap.blockpoint(Location(max_x, max_y))
-	for x in range(min_blockpoint[0], max_blockpoint[0] + 1):
-		for y in range(min_blockpoint[1], max_blockpoint[1] + 1):
-			yield blockmap[x, y]
+	range_x = range(min_blockpoint[0], max_blockpoint[0] + 1)
+	range_y = range(min_blockpoint[1], max_blockpoint[1] + 1)
+	yield from (blockmap[x, y] for x, y in product(range_x, range_y))
 
-def main():
-	with ZipFile(sys.argv[1]) as archive:
+def location_from_row(row):
+	return Location(float(row['stop_lat']), float(row['stop_lon']))
+
+def read_bus_stops(archive_path):
+	bus_stops = dict()
+	with ZipFile(archive_path) as archive:
 		with archive.open('stops.txt') as file:
-			for row in read_csv(map(bytes.decode, file)):
-				location = Location(float(row['stop_lat']), float(row['stop_lon']))
-				reference = row['stop_id']
-				bus_stops[reference] = location
-	region_shapes = list()
-	districts = dict()
-	bus_stop_regions = dict()
+			return {
+				row['stop_id']: location_from_row(row)
+				for row in read_csv(map(bytes.decode, file))
+			}
+
+def create_blockmap(regions):
+	'''
+	Creates a blockmap of regions
+	'''
 	blockmap = Blockmap()
-	# Find all regions for every block.
 	for region in regions.values():
 		for block in blocks_in_shape(blockmap, region['shape']):
 			set.add(block, region['name'])
+	return blockmap
+
+def get_args():
+	from argparse import ArgumentParser
+	parser = ArgumentParser()
+	parser.add_argument('gtfs_zip')
+	parser.add_argument('profile')
+	return parser.parse_args()
+
+def compute_bus_stop_regions(regions, bus_stops):
 	# Find the region every node is in
+	blockmap = create_blockmap(regions)
+	bus_stop_regions = dict()
 	for stop_id, stop_position in bus_stops.items():
 		for region_name in blockmap[blockmap.blockpoint(stop_position)]:
 			region = regions[region_name]
@@ -60,10 +100,30 @@
 				break
 		else:
 			bus_stop_regions[stop_id] = None
+	return bus_stop_regions
+
+def percentage(a):
+	return '%.1f%%' % (a * 100)
+
+def compute_route_models(gtfs_path):
+	from buses import load_buses
+	load_buses(gtfs_path)
+
+def main():
+	from regions import parse_regions
+	from misc import profile
+	args = get_args()
+	profile.read(args.profile)
+	regions = parse_regions(profile['regions']['osm-path'])
+	bus_stops = read_bus_stops(args.gtfs_zip)
+	bus_stop_regions = compute_bus_stop_regions(regions, bus_stops)
 	covered = sum(1 if value else 0 for value in bus_stop_regions.values())
 	total = len(bus_stops)
-	print('%.1f%% bus stops covered.' % (covered * 100 / total), file = sys.stderr)
+	print('%s bus stops covered.' % percentage(covered / total),
+		file = sys.stderr)
 	json.dump(bus_stop_regions, sys.stdout, indent = 2)
+	return 0
 
 if __name__ == '__main__':
-	main()
+	from sys import exit
+	exit(main())