advent-of-code/2022/python/day15.py

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import matrix
import math
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import sys
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from pprint import pprint
import shared
from scanf import scanf
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from typing import Optional
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from dataclasses import dataclass
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LIMIT = 4000000
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#def fuckoff_ill_do_my_own_cityblock(y1,x1, y2,x2):
def cityblock(y1,x1, y2,x2):
return abs(y2-y1) + abs(x2-x1)
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@dataclass
class Sensor:
sX: int
sY: int
bX: int
bY: int
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_d: int = None
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@property
def s(self):
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return (self.sY, self.sX)
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@property
def b(self):
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return (self.bY, self.bX)
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@property
def distance(self):
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if self._d is None:
self._d = cityblock(self.sY,self.sX, self.bY, self.bX)
return self._d
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def distance_to(self, bY, bX):
return cityblock(self.sY,self.sX, bY, bX)
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def on_line(self, y):
midpoint = (y,self.s[1])
d = self.distance_to(*midpoint)
if d > self.distance:
return []
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need = self.distance - d
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start = (y, midpoint[1] - need)
end = (y, midpoint[1] + need)
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return list(range(start[1],end[1]+1))
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def in_diamond(self):
sX,sY = self.sX, self.sY
up_lim = sY - self.distance
dn_lim = sY + self.distance
le_lim = sX - self.distance
ri_lim = sX + self.distance
u = (up_lim, sX)
d = (dn_lim, sX)
l = (sY, le_lim)
r = (sY, ri_lim)
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infliction = 1
height = -1
for idx, x in enumerate(range(l[1],r[1]+1)):
height += infliction
if (sY, x) == self.s:
infliction = -1
for y in range(sY-height, sY+height+1):
yield (y,x)
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def part1(rows, sample=False):
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sensors = []
sensor_points = []
beacon_points = []
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ineligible_points = set()
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xSet = set()
ySet = set()
for row in rows:
x,y,bx,by = scanf("Sensor at x=%d, y=%d: closest beacon is at x=%d, y=%d", row)
xSet.add(x)
xSet.add(bx)
ySet.add(y)
ySet.add(by)
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sensors.append(Sensor(sX=x,sY=y,bX=bx,bY=by))
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minX, maxX = min(xSet),max(xSet)
minY, maxY = min(ySet),max(ySet)
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for sensor in sensors:
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sensor_points.append(sensor.s)
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beacon_points.append(sensor.b)
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if sample:
for yx in sensor.in_diamond():
ineligible_points.add(yx)
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CHECK_ROW = 2000000
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if sample:
CHECK_ROW = 10
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ineligible = set()
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for s in sensors:
coll = s.on_line(CHECK_ROW)
ineligible.update(coll)
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count_ignoring_current_beacons = 0
for i in ineligible:
if (CHECK_ROW, i) not in beacon_points:
count_ignoring_current_beacons += 1
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print(count_ignoring_current_beacons, "with removing beacons, final answer")
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if not sample:
return
mx = matrix.matrix_of_size(maxX+1, maxY+1)
for yx in ineligible_points:
y,x = yx
if y >= 0 and x >= 0:
if y <= maxY and x <= maxX:
mx[y][x] = "#"
for yx in beacon_points:
y,x = yx
if y >= 0 and x >= 0:
if y <= maxY and x <= maxX:
mx[y][x] = "B"
for yx in sensor_points:
y,x = yx
if y >= 0 and x >= 0:
if y <= maxY and x <= maxX:
mx[y][x] = "S"
print(matrix.ppmx(mx, pad=False,space=True))
tuning = lambda y,x: y + (LIMIT * x)
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def part2(rows):
sensors = []
sensor_points = []
beacon_points = []
xSet = set()
ySet = set()
for row in rows:
x,y,bx,by = scanf("Sensor at x=%d, y=%d: closest beacon is at x=%d, y=%d", row)
xSet.add(x)
xSet.add(bx)
ySet.add(y)
ySet.add(by)
sensors.append(Sensor(sX=x,sY=y,bX=bx,bY=by))
minX, maxX = min(xSet),max(xSet)
minY, maxY = min(ySet),max(ySet)
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for sensor in sensors:
beacon_points.append(sensor.b)
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#coord_range = (0, LIMIT)
coord_range = (0, 20)
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ineligible = set()
for s in sensors:
coll = s.on_line(CHECK_ROW)
ineligible.update(coll)
count_ignoring_current_beacons = 0
for i in ineligible:
if (CHECK_ROW, i) not in beacon_points:
count_ignoring_current_beacons += 1
print(count_ignoring_current_beacons, "with removing beacons, final answer")
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def main():
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sample = False
if sys.argv[-1] == "--sample":
sample = True
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rows = [row for row in shared.load_rows(15)]
with shared.elapsed_timer() as elapsed:
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part1(rows, sample)
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print("🕒", elapsed())
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#with shared.elapsed_timer() as elapsed:
# part2(rows)
# print("🕒", elapsed())
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if __name__ == "__main__":
main()