From 58f530c3d1199668aa515781f10b8fe5ce0385d8 Mon Sep 17 00:00:00 2001 From: Bruno BELANYI Date: Thu, 15 Dec 2022 11:14:33 +0100 Subject: [PATCH] 2022: d15: ex1: add solution --- 2022/d15/ex1/ex1.py | 98 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 98 insertions(+) create mode 100755 2022/d15/ex1/ex1.py diff --git a/2022/d15/ex1/ex1.py b/2022/d15/ex1/ex1.py new file mode 100755 index 0000000..257cd60 --- /dev/null +++ b/2022/d15/ex1/ex1.py @@ -0,0 +1,98 @@ +#!/usr/bin/env python + +import dataclasses +import functools +import sys +from collections.abc import Iterable +from typing import NamedTuple, Optional + + +class Point(NamedTuple): + x: int + y: int + + @classmethod + def from_input(cls, input: str) -> "Point": + assert input.startswith("x=") # Sanity check + x, y = input.split(", ") + return cls(int(x.split("=")[-1]), int(y.split("=")[-1])) + + +class Interval(NamedTuple): + start: int + end: int + + def as_set(self) -> set[int]: + return set(range(self.start, self.end + 1)) + + +def merge_intervals(intervals: Iterable[Interval]) -> list[Interval]: + intervals = sorted(intervals) + + res = [intervals[0]] + for candidate in intervals[1:]: + # Range is inclusive in both end, so add 1 to end in case of near miss + if (res[-1].end + 1) >= candidate.start: + new_end = max(res[-1].end, candidate.end) + res[-1] = Interval(res[-1].start, new_end) + else: + res.append(candidate) + + return res + + +def distance(a: Point, b: Point) -> int: + return abs(a.x - b.x) + abs(a.y - b.y) + + +@dataclasses.dataclass +class SensorData: + pos: Point + beacon: Point + + @classmethod + def from_input(cls, input: str) -> "SensorData": + assert input.startswith("Sensor at x=") # Sanity check + + mid = input.index(":") + sensor, beacon = input[:mid], input[mid:] + return cls( + Point.from_input(sensor[sensor.index("x") :]), + Point.from_input(beacon[beacon.index("x") :]), + ) + + @functools.cached_property + def safe_range(self) -> int: + return distance(self.pos, self.beacon) + + def scan_row(self, row: int) -> Optional[Interval]: + distance = abs(row - self.pos.y) + dx = self.safe_range - distance + if dx < 0: + return None + return Interval(self.pos.x - dx, self.pos.x + dx) + + +def solve(input: list[str]) -> int: + def points_without_sos(data: list[SensorData], row: int) -> list[Interval]: + intervals = (d.scan_row(row) for d in data) + return merge_intervals(i for i in intervals if i is not None) + + data = [SensorData.from_input(line) for line in input] + beacons = {d.beacon for d in data} + + ROW = 2_000_000 + intervals = points_without_sos(data, ROW) + return len( + set.union(*(i.as_set() for i in intervals)) + - {b.x for b in beacons if b.y == ROW} + ) + + +def main() -> None: + input = sys.stdin.read().splitlines() + print(solve(input)) + + +if __name__ == "__main__": + main()