102 lines
2.4 KiB
Python
102 lines
2.4 KiB
Python
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from collections import Counter, defaultdict
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import string
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import pdb
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with open('data/06.txt') as f:
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data = []
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for line in f:
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x, y = line.strip().split(', ')
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data.append((int(x), int(y)))
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# data = {(1, 1), (1, 6), (8, 3), (3, 4), (5, 5), (8, 9)}
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def distance(a, b):
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(x1, y1), (x2, y2) = a, b
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return abs(x1 - x2) + abs(y1 - y2)
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def iter_grid(points):
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xmin = ymin = float('inf')
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xmax = ymax = 0
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for x, y in points:
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if x < xmin: xmin = x
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if x > xmax: xmax = x
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if y < ymin: ymin = y
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if y > ymax: ymax = y
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for y in range(ymin, ymax + 1):
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for x in range(xmin, xmax + 1):
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edge = x == xmin or x == xmax or y == ymin or y == ymax
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yield (x, y), edge
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has_infinite_region = set()
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grid = {}
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collisions = defaultdict(list)
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coords = Counter()
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total_distances = {}
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for point, edge in iter_grid(data):
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total = 0
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distances = {}
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for coord in data:
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d = distance(point, coord)
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total += d
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distances[coord] = d
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total_distances[point] = total
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closest_coords = []
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min_dist = float('inf')
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for coord, dist in sorted(distances.items(), key=lambda d: d[1]):
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if dist > min_dist:
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break
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closest_coords.append(coord)
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min_dist = dist
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if len(closest_coords) == 1:
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c = closest_coords[0]
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grid[point] = c
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coords[c] += 1
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if edge:
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has_infinite_region.add(c)
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else:
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for c in closest_coords:
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collisions[point].append(c)
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'''
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plane = []
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xmin = ymin = float('inf')
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xmax = ymax = 0
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for x, y in data:
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if x < xmin: xmin = x
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if x > xmax: xmax = x
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if y < ymin: ymin = y
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if y > ymax: ymax = y
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for y in range(ymax + 2):
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plane.append(['.'] * (xmax + 2))
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reps = {coord: name for coord, name in zip(data, string.printable)}
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# reps = {(1, 1): 'a', (1, 6): 'b', (8, 3): 'c', (3, 4): 'd', (5, 5): 'e', (8, 9): 'f'}
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for (x, y), coord in grid.items():
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if (x, y) == coord:
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name = ' '
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else:
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name = reps[coord]
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plane[y][x] = name
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s = '\n'.join(''.join(row) for row in plane)
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with open('grid.txt', 'w', encoding='utf-8') as f:
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f.write(s)
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'''
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for coord, size in coords.most_common():
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if coord not in has_infinite_region:
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print(f'Part 1: {size}\n')
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break
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print(f'Part 2: {sum(1 for d in total_distances.values() if d < 10000)}\n')
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pdb.set_trace()
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