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2022 Day 15, part 1 complete 

Going home from C&C
This commit is contained in:
Brian Buller 2022-12-15 10:57:33 -06:00
parent 194d2875a8
commit c23342023b
7 changed files with 397 additions and 11 deletions
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56
2022/day09/main.go
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@ -13,17 +13,55 @@ var sleepTime = (time.Second / 5)
var minx, miny, maxx, maxy int
var part = -1
var knots = 2
func main() {
inp := h.StdinToStringSlice()
watch := len(os.Args) > 1 && strings.HasPrefix(os.Args[1], "-w")
if watch {
if strings.Contains(os.Args[1], "=") {
pts := strings.Split(os.Args[1], "=")
sleepTime = (time.Second / time.Duration(h.Atoi(pts[1])))
var watch bool
var partSet bool
if len(os.Args) > 1 {
for _, arg := range os.Args[1:] {
if strings.HasPrefix(arg, "-w") {
watch = true
if strings.Contains(arg, "=") {
pts := strings.Split(arg, "=")
sleepTime = (time.Second / time.Duration(h.Atoi(pts[1])))
}
} else if strings.HasPrefix(arg, "-k") {
if strings.Contains(arg, "=") {
pts := strings.Split(arg, "=")
knots = h.Atoi(pts[1])
}
} else if strings.HasPrefix(arg, "-p") {
partSet = true
if strings.Contains(arg, "=") {
pts := strings.Split(arg, "=")
part = h.Atoi(pts[1])
}
}
}
}
simulate(inp, 10, watch)
if part == 1 {
knots = 2
} else if part == 2 {
knots = 10
}
if !watch && !partSet {
// Run both parts
fmt.Println("# Part 1")
simulate(inp, 2, watch)
fmt.Println()
fmt.Println("# Part 2")
simulate(inp, 10, watch)
} else {
if part > 0 && part <= 2 {
fmt.Println("# Part", part)
} else {
fmt.Println("# Simulation with", knots, "knots")
}
simulate(inp, knots, watch)
}
}
func buildInstructions(inp []string) []byte {
@ -48,7 +86,6 @@ func simulate(inp []string, knotCount int, watch bool) {
knots = append(knots, h.Coordinate{X: 0, Y: 0})
}
if watch {
fmt.Println("# Part 1")
printVisits(visited, knots)
}
for i, dir := range inst {
@ -57,7 +94,7 @@ func simulate(inp []string, knotCount int, watch bool) {
if watch {
time.Sleep(sleepTime)
fmt.Print(h.CLEAR_SCREEN)
fmt.Printf("# Part 1 (%d/%d)\n", i, len(inst))
fmt.Printf("# Knots %d (%d/%d)\n", knots, i, len(inst))
printVisits(visited, knots)
}
}
@ -65,7 +102,6 @@ func simulate(inp []string, knotCount int, watch bool) {
time.Sleep(sleepTime)
fmt.Print(h.CLEAR_SCREEN)
}
fmt.Println("# Part 1")
if watch {
printVisits(visited, knots)
}

34
2022/day15/input Normal file
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@ -0,0 +1,34 @@
Sensor at x=3842919, y=126080: closest beacon is at x=3943893, y=1918172
Sensor at x=406527, y=2094318: closest beacon is at x=-1066, y=1333278
Sensor at x=2208821, y=3683408: closest beacon is at x=2914373, y=3062268
Sensor at x=39441, y=1251806: closest beacon is at x=-1066, y=1333278
Sensor at x=3093352, y=2404566: closest beacon is at x=2810772, y=2699609
Sensor at x=3645473, y=2234498: closest beacon is at x=3943893, y=1918172
Sensor at x=3645012, y=2995540: closest beacon is at x=4001806, y=2787325
Sensor at x=18039, y=3083937: closest beacon is at x=103421, y=3007511
Sensor at x=2375680, y=551123: closest beacon is at x=2761373, y=2000000
Sensor at x=776553, y=123250: closest beacon is at x=-1066, y=1333278
Sensor at x=2884996, y=2022644: closest beacon is at x=2761373, y=2000000
Sensor at x=1886537, y=2659379: closest beacon is at x=2810772, y=2699609
Sensor at x=3980015, y=3987237: closest beacon is at x=3844688, y=3570059
Sensor at x=3426483, y=3353349: closest beacon is at x=3844688, y=3570059
Sensor at x=999596, y=1165648: closest beacon is at x=-1066, y=1333278
Sensor at x=2518209, y=2287271: closest beacon is at x=2761373, y=2000000
Sensor at x=3982110, y=3262128: closest beacon is at x=3844688, y=3570059
Sensor at x=3412896, y=3999288: closest beacon is at x=3844688, y=3570059
Sensor at x=2716180, y=2798731: closest beacon is at x=2810772, y=2699609
Sensor at x=3575486, y=1273265: closest beacon is at x=3943893, y=1918172
Sensor at x=7606, y=2926795: closest beacon is at x=103421, y=3007511
Sensor at x=2719370, y=2062251: closest beacon is at x=2761373, y=2000000
Sensor at x=1603268, y=1771299: closest beacon is at x=2761373, y=2000000
Sensor at x=3999678, y=1864727: closest beacon is at x=3943893, y=1918172
Sensor at x=3157947, y=2833781: closest beacon is at x=2914373, y=3062268
Sensor at x=3904662, y=2601010: closest beacon is at x=4001806, y=2787325
Sensor at x=3846359, y=1608423: closest beacon is at x=3943893, y=1918172
Sensor at x=2831842, y=3562642: closest beacon is at x=2914373, y=3062268
Sensor at x=3157592, y=1874755: closest beacon is at x=2761373, y=2000000
Sensor at x=934300, y=2824967: closest beacon is at x=103421, y=3007511
Sensor at x=3986911, y=1907590: closest beacon is at x=3943893, y=1918172
Sensor at x=200888, y=3579976: closest beacon is at x=103421, y=3007511
Sensor at x=967209, y=3837958: closest beacon is at x=103421, y=3007511
Sensor at x=3998480, y=1972726: closest beacon is at x=3943893, y=1918172

127
2022/day15/main.go Normal file
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@ -0,0 +1,127 @@
package main
import (
"fmt"
"math"
"os"
"strings"
h "git.bullercodeworks.com/brian/adventofcode/helpers"
)
var part = -1
var testRow = 2000000
var watch bool
var watchRows = 1
func main() {
inp := h.StdinToStringSlice()
if len(os.Args) > 1 {
for _, arg := range os.Args[1:] {
if strings.HasPrefix(arg, "--part") || strings.HasPrefix(arg, "-p") {
if strings.Contains(arg, "=") {
pts := strings.Split(arg, "=")
part = h.Atoi(pts[1])
}
} else if strings.HasPrefix(arg, "--row") || strings.HasPrefix(arg, "-r") {
if strings.Contains(arg, "=") {
pts := strings.Split(arg, "=")
testRow = h.Atoi(pts[1])
}
} else if strings.HasPrefix(arg, "--watch") || strings.HasPrefix(arg, "-w") {
watch = true
if strings.Contains(arg, "=") {
pts := strings.Split(arg, "=")
if pts[1] == "full" {
watchRows = -1
} else {
watchRows = h.Atoi(pts[1])
}
}
}
}
}
part1(inp)
part2(inp)
}
func part1(inp []string) {
min_x, max_x := math.MaxInt, math.MinInt
var spots [][]int
for i := range inp {
s, b := strToCoords(inp[i])
xs, ys, xb, yb := s.X, s.Y, b.X, b.Y
dist := s.Distance(b)
l, r := xs-dist, xs+dist
min_x = h.Min(min_x, l)
max_x = h.Max(max_x, r)
spots = append(spots, []int{xs, ys, xb, yb, dist})
}
var nopeCount int
for x := min_x; x <= max_x; x++ {
for _, c := range spots {
if x == c[2] && testRow == c[3] {
break
}
if h.ManhattanDistance(x, testRow, c[0], c[1]) <= c[4] {
nopeCount++
break
}
}
}
fmt.Println("# Part 1")
fmt.Println(nopeCount)
}
func part2(inp []string) {
min_x, max_x := math.MaxInt, math.MinInt
var spots [][]int
for i := range inp {
s, b := strToCoords(inp[i])
xs, ys, xb, yb := s.X, s.Y, b.X, b.Y
dist := s.Distance(b)
l, r := xs-dist, xs+dist
min_x = h.Min(min_x, l)
max_x = h.Max(max_x, r)
spots = append(spots, []int{xs, ys, xb, yb, dist})
}
max := testRow * 2
var found h.Coordinate
SEARCH:
for y := 0; y <= max; y++ {
for x := 0; x <= max; x++ {
fmt.Printf("Testing %d,%d...", x, y)
var nope bool
for _, c := range spots {
if x == c[2] && y == c[3] {
break
}
if h.ManhattanDistance(x, y, c[0], c[1]) <= c[4] {
nope = true
break
}
}
if !nope {
fmt.Println("Yup")
found = h.Coordinate{X: x, Y: y}
break SEARCH
}
fmt.Println("Nope")
}
}
fmt.Println("# Part 2")
fmt.Println(found)
fmt.Println((found.X * 4000000) + found.Y)
}
func printMap(m [][]int) {
}
func strToCoords(s string) (h.Coordinate, h.Coordinate) {
var sensor, beacon h.Coordinate
r := strings.NewReader(s)
fmt.Fscanf(r, "Sensor at x=%d, y=%d: closest beacon is at x=%d, y=%d", &sensor.X, &sensor.Y, &beacon.X, &beacon.Y)
return sensor, beacon
}

171
2022/day15/problem Normal file
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@ -0,0 +1,171 @@
Advent of Code
• [About]
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br0xen (AoC++) 28*
   <y>2022</y>
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• [Stats]
Our sponsors help make Advent of Code possible:
BJSS - Our people are a team of problem solvers, experienced in evolving technologies and delivering
world-class technology solutions.
--- Day 15: Beacon Exclusion Zone ---
You feel the ground rumble again as the distress signal leads you to a large network of subterranean tunnels.
You don't have time to search them all, but you don't need to: your pack contains a set of deployable sensors
that you imagine were originally built to locate lost Elves.
The sensors aren't very powerful, but that's okay; your handheld device indicates that you're close enough to
the source of the distress signal to use them. You pull the emergency sensor system out of your pack, hit the
big button on top, and the sensors zoom off down the tunnels.
Once a sensor finds a spot it thinks will give it a good reading, it attaches itself to a hard surface and
begins monitoring for the nearest signal source beacon. Sensors and beacons always exist at integer
coordinates. Each sensor knows its own position and can determine the position of a beacon precisely; however,
sensors can only lock on to the one beacon closest to the sensor as measured by the Manhattan distance. (There
is never a tie where two beacons are the same distance to a sensor.)
It doesn't take long for the sensors to report back their positions and closest beacons (your puzzle input).
For example:
Sensor at x=2, y=18: closest beacon is at x=-2, y=15
Sensor at x=9, y=16: closest beacon is at x=10, y=16
Sensor at x=13, y=2: closest beacon is at x=15, y=3
Sensor at x=12, y=14: closest beacon is at x=10, y=16
Sensor at x=10, y=20: closest beacon is at x=10, y=16
Sensor at x=14, y=17: closest beacon is at x=10, y=16
Sensor at x=8, y=7: closest beacon is at x=2, y=10
Sensor at x=2, y=0: closest beacon is at x=2, y=10
Sensor at x=0, y=11: closest beacon is at x=2, y=10
Sensor at x=20, y=14: closest beacon is at x=25, y=17
Sensor at x=17, y=20: closest beacon is at x=21, y=22
Sensor at x=16, y=7: closest beacon is at x=15, y=3
Sensor at x=14, y=3: closest beacon is at x=15, y=3
Sensor at x=20, y=1: closest beacon is at x=15, y=3
So, consider the sensor at 2,18; the closest beacon to it is at -2,15. For the sensor at 9,16, the closest
beacon to it is at 10,16.
Drawing sensors as S and beacons as B, the above arrangement of sensors and beacons looks like this:
1 1 2 2
0 5 0 5 0 5
0 ....S.......................
1 ......................S.....
2 ...............S............
3 ................SB..........
4 ............................
5 ............................
6 ............................
7 ..........S.......S.........
8 ............................
9 ............................
10 ....B.......................
11 ..S.........................
12 ............................
13 ............................
14 ..............S.......S.....
15 B...........................
16 ...........SB...............
17 ................S..........B
18 ....S.......................
19 ............................
20 ............S......S........
21 ............................
22 .......................B....
This isn't necessarily a comprehensive map of all beacons in the area, though. Because each sensor only
identifies its closest beacon, if a sensor detects a beacon, you know there are no other beacons that close or
closer to that sensor. There could still be beacons that just happen to not be the closest beacon to any
sensor. Consider the sensor at 8,7:
1 1 2 2
0 5 0 5 0 5
-2 ..........#.................
-1 .........###................
0 ....S...#####...............
1 .......#######........S.....
2 ......#########S............
3 .....###########SB..........
4 ....#############...........
5 ...###############..........
6 ..#################.........
7 .#########S#######S#........
8 ..#################.........
9 ...###############..........
10 ....B############...........
11 ..S..###########............
12 ......#########.............
13 .......#######..............
14 ........#####.S.......S.....
15 B........###................
16 ..........#SB...............
17 ................S..........B
18 ....S.......................
19 ............................
20 ............S......S........
21 ............................
22 .......................B....
This sensor's closest beacon is at 2,10, and so you know there are no beacons that close or closer (in any
positions marked #).
None of the detected beacons seem to be producing the distress signal, so you'll need to work out where the
distress beacon is by working out where it isn't. For now, keep things simple by counting the positions where a
beacon cannot possibly be along just a single row.
So, suppose you have an arrangement of beacons and sensors like in the example above and, just in the row where
y=10, you'd like to count the number of positions a beacon cannot possibly exist. The coverage from all sensors
near that row looks like this:
1 1 2 2
0 5 0 5 0 5
9 ...#########################...
10 ..####B######################..
11 .###S#############.###########.
In this example, in the row where y=10, there are 26 positions where a beacon cannot be present.
Consult the report from the sensors you just deployed. In the row where y=2000000, how many positions cannot
contain a beacon?
To begin, get your puzzle input.
Answer: _____________________ [ [Submit] ]
You can also [Shareon Twitter Mastodon] this puzzle.
References
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. Advent of Code Supporter
https://adventofcode.com/2022/support
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. https://adventofcode.com/2022/stats
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. https://www.bjss.com/
. https://en.wikipedia.org/wiki/Taxicab_geometry
. https://adventofcode.com/2022/day/15/input
. https://twitter.com/intent/tweet?text=%22Beacon+Exclusion+Zone%22+%2D+Day+15+%2D+Advent+of+Code+2022&url=https%3A%2F%2Fadventofcode%2Ecom%2F2022%2Fday%2F15&related=ericwastl&hashtags=AdventOfCode
. javascript:void(0);

14
2022/day15/testinput Normal file
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@ -0,0 +1,14 @@
Sensor at x=2, y=18: closest beacon is at x=-2, y=15
Sensor at x=9, y=16: closest beacon is at x=10, y=16
Sensor at x=13, y=2: closest beacon is at x=15, y=3
Sensor at x=12, y=14: closest beacon is at x=10, y=16
Sensor at x=10, y=20: closest beacon is at x=10, y=16
Sensor at x=14, y=17: closest beacon is at x=10, y=16
Sensor at x=8, y=7: closest beacon is at x=2, y=10
Sensor at x=2, y=0: closest beacon is at x=2, y=10
Sensor at x=0, y=11: closest beacon is at x=2, y=10
Sensor at x=20, y=14: closest beacon is at x=25, y=17
Sensor at x=17, y=20: closest beacon is at x=21, y=22
Sensor at x=16, y=7: closest beacon is at x=15, y=3
Sensor at x=14, y=3: closest beacon is at x=15, y=3
Sensor at x=20, y=1: closest beacon is at x=15, y=3

2
helpers/coordinate.go
View File

@ -118,7 +118,7 @@ func (c Coordinate) String() string {
}
func (c Coordinate) Distance(t Coordinate) int {
return AbsInt(c.X-t.X) + AbsInt(c.Y-t.Y)
return ManhattanDistance(c.X, c.Y, t.X, t.Y)
}
func (c Coordinate) Equals(c2 Coordinate) bool {

4
helpers/helpers.go
View File

@ -416,3 +416,7 @@ func Sum(l, h int) int {
}
return ret
}
func ManhattanDistance(x1, y1, x2, y2 int) int {
return AbsInt(x1-x2) + AbsInt(y1-y2)
}