parent
72ae9ccb77
commit
2f0556d7a5
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Sensor at x=2, y=18: closest beacon is at x=-2, y=15
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Sensor at x=9, y=16: closest beacon is at x=10, y=16
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Sensor at x=13, y=2: closest beacon is at x=15, y=3
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Sensor at x=12, y=14: closest beacon is at x=10, y=16
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Sensor at x=10, y=20: closest beacon is at x=10, y=16
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Sensor at x=14, y=17: closest beacon is at x=10, y=16
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Sensor at x=8, y=7: closest beacon is at x=2, y=10
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Sensor at x=2, y=0: closest beacon is at x=2, y=10
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Sensor at x=0, y=11: closest beacon is at x=2, y=10
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Sensor at x=20, y=14: closest beacon is at x=25, y=17
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Sensor at x=17, y=20: closest beacon is at x=21, y=22
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Sensor at x=16, y=7: closest beacon is at x=15, y=3
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Sensor at x=14, y=3: closest beacon is at x=15, y=3
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Sensor at x=20, y=1: closest beacon is at x=15, y=3
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@ -0,0 +1,37 @@
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lines = open("input.txt", "r").read().splitlines()
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def parse_lines(lines: list) -> (set, set):
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sensors = []
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beacons = []
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for line in lines:
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_, _, sx, sy, _, _, _, _, bx, by = line.split(" ")
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sensors.append([int(sx.split("=")[1][:-1]), int(sy.split("=")[1][:-1])])
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beacons.append([int(bx.split("=")[1][:-1]), int(by.split("=")[1])])
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return sensors, beacons
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def manhatten(a, b):
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return abs(a[0] - b[0]) + abs(a[1] - b[1])
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critical = 2000000
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sensors, beacons = parse_lines(lines)
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taken = set()
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critical_beacons = set(tuple(x) for x in beacons if x[1] == critical)
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print(critical_beacons)
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for i in range(len(sensors)):
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print(i)
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s = sensors[i]
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b = beacons[i]
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d = manhatten(s, b)
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min_y, max_y = s[1] - d, s[1] + d
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if min_y <= critical <= max_y:
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critical_d = abs(s[1] - critical)
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critical_reach = d - critical_d
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taken.update(
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(x, critical)
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for x in range(s[0] - critical_reach, s[0] + critical_reach + 1)
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)
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print(len(taken) - len(critical_beacons))
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lines = open("input.txt", "r").read().splitlines()
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def parse_lines(lines: list) -> (set, set):
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sensors = []
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beacons = []
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for line in lines:
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_, _, sx, sy, _, _, _, _, bx, by = line.split(" ")
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sensors.append((int(sx.split("=")[1][:-1]), int(sy.split("=")[1][:-1])))
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beacons.append((int(bx.split("=")[1][:-1]), int(by.split("=")[1])))
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return sensors, beacons
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def manhatten(a, b):
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return abs(a[0] - b[0]) + abs(a[1] - b[1])
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def build_search_space(sensors, beacons):
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space = set()
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for sensor, beacon in zip(sensors, beacons):
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space.update(sensor_diamond(sensor, beacon))
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return space
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def sensor_diamond(sensor, beacon):
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points = set()
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d = manhatten(sensor, beacon)
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xr = range(d + 2)
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yr = xr[::-1]
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xrneg = range(0, (d + 2) * -1, -1)
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yrneg = xrneg[::-1]
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for x, y, xneg, yneg in zip(xr, yr, xrneg, yrneg):
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points.add((sensor[0] + x, sensor[1] + y))
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points.add((sensor[0] + xneg, sensor[1] + y))
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points.add((sensor[0] + x, sensor[1] + yneg))
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points.add((sensor[0] + xneg, sensor[1] + yneg))
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return points
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def search_candidates(sensors, beacons, space):
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candidates = set()
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counter = 0
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for point in space:
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is_candidate = False
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if x_min <= point[0] <= x_max and y_min <= point[1] <= y_max:
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is_candidate = True
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for sensor, beacon in zip(sensors, beacons):
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if manhatten(sensor, point) <= manhatten(sensor, beacon):
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is_candidate = False
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if is_candidate:
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print("candidate found")
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candidates.add(point)
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counter += 1
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if counter % 100000 == 0:
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print(f"{counter} points searched")
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return candidates
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x_min, x_max = 0, 4000000
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y_min, y_max = 0, 4000000
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sensors, beacons = parse_lines(lines)
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space = build_search_space(sensors, beacons)
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print("space set up")
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candidates = search_candidates(sensors, beacons, space)
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print(candidates)
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x, y = candidates.pop()
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print(x * 4000000 + y)
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@ -0,0 +1,33 @@
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Sensor at x=2302110, y=2237242: closest beacon is at x=2348729, y=1239977
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Sensor at x=47903, y=2473047: closest beacon is at x=-432198, y=2000000
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Sensor at x=2363579, y=1547888: closest beacon is at x=2348729, y=1239977
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Sensor at x=3619841, y=520506: closest beacon is at x=2348729, y=1239977
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Sensor at x=3941908, y=3526118: closest beacon is at x=3772294, y=3485243
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Sensor at x=3206, y=1564595: closest beacon is at x=-432198, y=2000000
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Sensor at x=3123411, y=3392077: closest beacon is at x=2977835, y=3592946
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Sensor at x=3279053, y=3984688: closest beacon is at x=2977835, y=3592946
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Sensor at x=2968162, y=3938490: closest beacon is at x=2977835, y=3592946
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Sensor at x=1772120, y=2862246: closest beacon is at x=2017966, y=3158243
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Sensor at x=3283241, y=2619168: closest beacon is at x=3172577, y=2521434
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Sensor at x=2471642, y=3890150: closest beacon is at x=2977835, y=3592946
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Sensor at x=3163348, y=3743489: closest beacon is at x=2977835, y=3592946
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Sensor at x=2933313, y=2919047: closest beacon is at x=3172577, y=2521434
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Sensor at x=2780640, y=3629927: closest beacon is at x=2977835, y=3592946
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Sensor at x=3986978, y=2079918: closest beacon is at x=3998497, y=2812428
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Sensor at x=315464, y=370694: closest beacon is at x=-550536, y=260566
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Sensor at x=3957316, y=3968366: closest beacon is at x=3772294, y=3485243
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Sensor at x=2118533, y=1074658: closest beacon is at x=2348729, y=1239977
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Sensor at x=3494855, y=3378533: closest beacon is at x=3772294, y=3485243
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Sensor at x=2575727, y=210553: closest beacon is at x=2348729, y=1239977
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Sensor at x=3999990, y=2813525: closest beacon is at x=3998497, y=2812428
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Sensor at x=3658837, y=3026912: closest beacon is at x=3998497, y=2812428
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Sensor at x=1551619, y=1701155: closest beacon is at x=2348729, y=1239977
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Sensor at x=2625855, y=3330422: closest beacon is at x=2977835, y=3592946
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Sensor at x=3476946, y=2445098: closest beacon is at x=3172577, y=2521434
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Sensor at x=2915568, y=1714113: closest beacon is at x=2348729, y=1239977
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Sensor at x=729668, y=3723377: closest beacon is at x=-997494, y=3617758
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Sensor at x=3631681, y=3801747: closest beacon is at x=3772294, y=3485243
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Sensor at x=2270816, y=3197807: closest beacon is at x=2017966, y=3158243
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Sensor at x=3999999, y=2810929: closest beacon is at x=3998497, y=2812428
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Sensor at x=3978805, y=3296024: closest beacon is at x=3772294, y=3485243
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Sensor at x=1054910, y=811769: closest beacon is at x=2348729, y=1239977
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