Tue, 25 Sep 2018 22:15:49 +0300
optimized region computation with a blockmap
1 | 1 | #!/usr/bin/env python3 |
2 | 2 | import sys, json |
3 | from misc import * | |
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4 | from geometry import * |
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5 | from zipfile import ZipFile |
52 | 6 | from configparser import ConfigParser |
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7 | from regions import parse_regions |
52 | 8 | |
9 | representatives = {} | |
10 | ||
89 | 11 | regions = parse_regions(sys.argv[2]) |
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12 | bus_stops = {} |
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13 | block_factor = 0.01 |
2 | 14 | |
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15 | class Blockmap: |
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16 | def __init__(self, default = None): |
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17 | from collections import defaultdict |
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18 | self.blocks = default or defaultdict(set) |
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19 | def __getitem__(self, blockid): |
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20 | return self.blocks[blockid] |
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21 | def blockpoint(self, point): |
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22 | return int(point.x / block_factor), int(point.y / block_factor) |
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23 | def block_min_corner(self, blockpoint): |
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24 | return Location(blockpoint[0] * block_factor, blockpoint[1] * block_factor) |
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25 | def block_max_corner(self, blockpoint): |
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26 | return Location((blockpoint[0] + 1) * block_factor, (blockpoint[1] + 1) * block_factor) |
2 | 27 | |
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28 | def blocks_in_shape(blockmap, shape): |
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29 | min_x = min(point.x for point in shape.points) |
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30 | min_y = min(point.y for point in shape.points) |
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31 | max_x = max(point.x for point in shape.points) |
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32 | max_y = max(point.y for point in shape.points) |
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33 | min_blockpoint = blockmap.blockpoint(Location(min_x, min_y)) |
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34 | max_blockpoint = blockmap.blockpoint(Location(max_x, max_y)) |
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35 | for x in range(min_blockpoint[0], max_blockpoint[0] + 1): |
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36 | for y in range(min_blockpoint[1], max_blockpoint[1] + 1): |
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37 | yield blockmap[x, y] |
2 | 38 | |
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39 | def main(): |
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40 | with ZipFile(sys.argv[1]) as archive: |
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41 | with archive.open('stops.txt') as file: |
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42 | for row in read_csv(map(bytes.decode, file)): |
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43 | location = Location(float(row['stop_lat']), float(row['stop_lon'])) |
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44 | reference = row['stop_id'] |
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45 | bus_stops[reference] = location |
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46 | region_shapes = list() |
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47 | districts = dict() |
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48 | bus_stop_regions = dict() |
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49 | blocks_per_region = dict() |
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50 | blockmap = Blockmap() |
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51 | for region in regions.values(): |
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52 | blocks_per_region[region['name']] = list(blocks_in_shape(blockmap, region['shape'])) |
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53 | for block in blocks_per_region[region['name']]: |
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54 | set.add(block, region['name']) |
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55 | for stop_id, stop_position in bus_stops.items(): |
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56 | for region_name in blockmap[blockmap.blockpoint(stop_position)]: |
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57 | region = regions[region_name] |
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58 | if region['shape'].contains_point(stop_position): |
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59 | bus_stop_regions[stop_id] = region['name'] |
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60 | break |
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61 | else: |
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62 | bus_stop_regions[stop_id] = None |
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63 | covered = sum(1 if value else 0 for value in bus_stop_regions.values()) |
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64 | total = len(bus_stops) |
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65 | print('%.1f%% bus stops covered.' % (covered * 100 / total), file = sys.stderr) |
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66 | json.dump(bus_stop_regions, sys.stdout, indent = 2) |
2 | 67 | |
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68 | if __name__ == '__main__': |
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69 | main() |