Added Solution for 2021 day 19

This commit is contained in:
Burnus 2023-05-03 18:01:53 +02:00
parent a89f7ded79
commit 90a1203fda
5 changed files with 1676 additions and 0 deletions

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[package]
name = "day19_beacon_scanner"
version = "0.1.0"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]

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As your [probe](17) drifted down through this area, it released an assortment of *beacons* and *scanners* into the water. It's difficult to navigate in the pitch black open waters of the ocean trench, but if you can build a map of the trench using data from the scanners, you should be able to safely reach the bottom.
The beacons and scanners float motionless in the water; they're designed to maintain the same position for long periods of time. Each scanner is capable of detecting all beacons in a large cube centered on the scanner; beacons that are at most 1000 units away from the scanner in each of the three axes (`x`, `y`, and `z`) have their precise position determined relative to the scanner. However, scanners cannot detect other scanners. The submarine has automatically summarized the relative positions of beacons detected by each scanner (your puzzle input).
For example, if a scanner is at `x,y,z` coordinates `500,0,-500` and there are beacons at `-500,1000,-1500` and `1501,0,-500`, the scanner could report that the first beacon is at `-1000,1000,-1000` (relative to the scanner) but would not detect the second beacon at all.
Unfortunately, while each scanner can report the positions of all detected beacons relative to itself, *the scanners do not know their own position*. You'll need to determine the positions of the beacons and scanners yourself.
The scanners and beacons map a single contiguous 3d region. This region can be reconstructed by finding pairs of scanners that have overlapping detection regions such that there are *at least 12 beacons* that both scanners detect within the overlap. By establishing 12 common beacons, you can precisely determine where the scanners are relative to each other, allowing you to reconstruct the beacon map one scanner at a time.
For a moment, consider only two dimensions. Suppose you have the following scanner reports:
```
--- scanner 0 ---
0,2
4,1
3,3
--- scanner 1 ---
-1,-1
-5,0
-2,1
```
Drawing `x` increasing rightward, `y` increasing upward, scanners as `S`, and beacons as `B`, scanner `0` detects this:
```
...B.
B....
....B
S....
```
Scanner `1` detects this:
```
...B..
B....S
....B.
```
For this example, assume scanners only need 3 overlapping beacons. Then, the beacons visible to both scanners overlap to produce the following complete map:
```
...B..
B....S
....B.
S.....
```
Unfortunately, there's a second problem: the scanners also don't know their *rotation or facing direction*. Due to magnetic alignment, each scanner is rotated some integer number of 90-degree turns around all of the `x`, `y`, and `z` axes. That is, one scanner might call a direction positive `x`, while another scanner might call that direction negative `y`. Or, two scanners might agree on which direction is positive `x`, but one scanner might be upside-down from the perspective of the other scanner. In total, each scanner could be in any of 24 different orientations: facing positive or negative `x`, `y`, or `z`, and considering any of four directions "up" from that facing.
For example, here is an arrangement of beacons as seen from a scanner in the same position but in different orientations:
```
--- scanner 0 ---
-1,-1,1
-2,-2,2
-3,-3,3
-2,-3,1
5,6,-4
8,0,7
--- scanner 0 ---
1,-1,1
2,-2,2
3,-3,3
2,-1,3
-5,4,-6
-8,-7,0
--- scanner 0 ---
-1,-1,-1
-2,-2,-2
-3,-3,-3
-1,-3,-2
4,6,5
-7,0,8
--- scanner 0 ---
1,1,-1
2,2,-2
3,3,-3
1,3,-2
-4,-6,5
7,0,8
--- scanner 0 ---
1,1,1
2,2,2
3,3,3
3,1,2
-6,-4,-5
0,7,-8
```
By finding pairs of scanners that both see at least 12 of the same beacons, you can assemble the entire map. For example, consider the following report:
```
--- scanner 0 ---
404,-588,-901
528,-643,409
-838,591,734
390,-675,-793
-537,-823,-458
-485,-357,347
-345,-311,381
-661,-816,-575
-876,649,763
-618,-824,-621
553,345,-567
474,580,667
-447,-329,318
-584,868,-557
544,-627,-890
564,392,-477
455,729,728
-892,524,684
-689,845,-530
423,-701,434
7,-33,-71
630,319,-379
443,580,662
-789,900,-551
459,-707,401
--- scanner 1 ---
686,422,578
605,423,415
515,917,-361
-336,658,858
95,138,22
-476,619,847
-340,-569,-846
567,-361,727
-460,603,-452
669,-402,600
729,430,532
-500,-761,534
-322,571,750
-466,-666,-811
-429,-592,574
-355,545,-477
703,-491,-529
-328,-685,520
413,935,-424
-391,539,-444
586,-435,557
-364,-763,-893
807,-499,-711
755,-354,-619
553,889,-390
--- scanner 2 ---
649,640,665
682,-795,504
-784,533,-524
-644,584,-595
-588,-843,648
-30,6,44
-674,560,763
500,723,-460
609,671,-379
-555,-800,653
-675,-892,-343
697,-426,-610
578,704,681
493,664,-388
-671,-858,530
-667,343,800
571,-461,-707
-138,-166,112
-889,563,-600
646,-828,498
640,759,510
-630,509,768
-681,-892,-333
673,-379,-804
-742,-814,-386
577,-820,562
--- scanner 3 ---
-589,542,597
605,-692,669
-500,565,-823
-660,373,557
-458,-679,-417
-488,449,543
-626,468,-788
338,-750,-386
528,-832,-391
562,-778,733
-938,-730,414
543,643,-506
-524,371,-870
407,773,750
-104,29,83
378,-903,-323
-778,-728,485
426,699,580
-438,-605,-362
-469,-447,-387
509,732,623
647,635,-688
-868,-804,481
614,-800,639
595,780,-596
--- scanner 4 ---
727,592,562
-293,-554,779
441,611,-461
-714,465,-776
-743,427,-804
-660,-479,-426
832,-632,460
927,-485,-438
408,393,-506
466,436,-512
110,16,151
-258,-428,682
-393,719,612
-211,-452,876
808,-476,-593
-575,615,604
-485,667,467
-680,325,-822
-627,-443,-432
872,-547,-609
833,512,582
807,604,487
839,-516,451
891,-625,532
-652,-548,-490
30,-46,-14
```
Because all coordinates are relative, in this example, all "absolute" positions will be expressed relative to scanner `0` (using the orientation of scanner `0` and as if scanner `0` is at coordinates `0,0,0`).
Scanners `0` and `1` have overlapping detection cubes; the 12 beacons they both detect (relative to scanner `0`) are at the following coordinates:
```
-618,-824,-621
-537,-823,-458
-447,-329,318
404,-588,-901
544,-627,-890
528,-643,409
-661,-816,-575
390,-675,-793
423,-701,434
-345,-311,381
459,-707,401
-485,-357,347
```
These same 12 beacons (in the same order) but from the perspective of scanner `1` are:
```
686,422,578
605,423,415
515,917,-361
-336,658,858
-476,619,847
-460,603,-452
729,430,532
-322,571,750
-355,545,-477
413,935,-424
-391,539,-444
553,889,-390
```
Because of this, scanner `1` must be at `68,-1246,-43` (relative to scanner `0`).
Scanner `4` overlaps with scanner `1`; the 12 beacons they both detect (relative to scanner `0`) are:
```
459,-707,401
-739,-1745,668
-485,-357,347
432,-2009,850
528,-643,409
423,-701,434
-345,-311,381
408,-1815,803
534,-1912,768
-687,-1600,576
-447,-329,318
-635,-1737,486
```
So, scanner `4` is at `-20,-1133,1061` (relative to scanner `0`).
Following this process, scanner `2` must be at `1105,-1205,1229` (relative to scanner `0`) and scanner `3` must be at `-92,-2380,-20` (relative to scanner `0`).
The full list of beacons (relative to scanner `0`) is:
```
-892,524,684
-876,649,763
-838,591,734
-789,900,-551
-739,-1745,668
-706,-3180,-659
-697,-3072,-689
-689,845,-530
-687,-1600,576
-661,-816,-575
-654,-3158,-753
-635,-1737,486
-631,-672,1502
-624,-1620,1868
-620,-3212,371
-618,-824,-621
-612,-1695,1788
-601,-1648,-643
-584,868,-557
-537,-823,-458
-532,-1715,1894
-518,-1681,-600
-499,-1607,-770
-485,-357,347
-470,-3283,303
-456,-621,1527
-447,-329,318
-430,-3130,366
-413,-627,1469
-345,-311,381
-36,-1284,1171
-27,-1108,-65
7,-33,-71
12,-2351,-103
26,-1119,1091
346,-2985,342
366,-3059,397
377,-2827,367
390,-675,-793
396,-1931,-563
404,-588,-901
408,-1815,803
423,-701,434
432,-2009,850
443,580,662
455,729,728
456,-540,1869
459,-707,401
465,-695,1988
474,580,667
496,-1584,1900
497,-1838,-617
527,-524,1933
528,-643,409
534,-1912,768
544,-627,-890
553,345,-567
564,392,-477
568,-2007,-577
605,-1665,1952
612,-1593,1893
630,319,-379
686,-3108,-505
776,-3184,-501
846,-3110,-434
1135,-1161,1235
1243,-1093,1063
1660,-552,429
1693,-557,386
1735,-437,1738
1749,-1800,1813
1772,-405,1572
1776,-675,371
1779,-442,1789
1780,-1548,337
1786,-1538,337
1847,-1591,415
1889,-1729,1762
1994,-1805,1792
```
In total, there are `*79*` beacons.
Assemble the full map of beacons. *How many beacons are there?*
Your puzzle answer was `430`.
\--- Part Two ---
----------
Sometimes, it's a good idea to appreciate just how big the ocean is. Using the [Manhattan distance](https://en.wikipedia.org/wiki/Taxicab_geometry), how far apart do the scanners get?
In the above example, scanners `2` (`1105,-1205,1229`) and `3` (`-92,-2380,-20`) are the largest Manhattan distance apart. In total, they are `1197 + 1175 + 1249 = *3621*` units apart.
*What is the largest Manhattan distance between any two scanners?*
Your puzzle answer was `11860`.
Both parts of this puzzle are complete! They provide two gold stars: \*\*
At this point, you should [return to your Advent calendar](/2021) and try another puzzle.
If you still want to see it, you can [get your puzzle input](19/input).

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use core::fmt::Display;
use std::{num::ParseIntError, collections::{HashSet, HashMap}};
#[derive(Debug, PartialEq, Eq)]
pub enum ParseError {
ParseIntError(std::num::ParseIntError),
LineMalformed(String),
}
impl From<ParseIntError> for ParseError {
fn from(value: ParseIntError) -> Self {
Self::ParseIntError(value)
}
}
impl Display for ParseError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
Self::ParseIntError(e) => write!(f, "Unable to parse into integer: {e}"),
Self::LineMalformed(v) => write!(f, "Line is malformed: {v}"),
}
}
}
const ROTATIONS_MATRICES: [[isize; 9]; 24] = [
[1, 0, 0, 0, 1, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 1, 0, -1, 0],
[1, 0, 0, 0, -1, 0, 0, 0, -1],
[1, 0, 0, 0, 0, -1, 0, 1, 0],
[0, 1, 0, 0, 0, 1, 1, 0, 0],
[0, 1, 0, 1, 0, 0, 0, 0, -1],
[0, 1, 0, 0, 0, -1, -1, 0, 0],
[0, 1, 0, -1, 0, 0, 0, 0, 1],
[0, 0, 1, 1, 0, 0, 0, 1, 0],
[0, 0, 1, 0, 1, 0, -1, 0, 0],
[0, 0, 1, -1, 0, 0, 0, -1, 0],
[0, 0, 1, 0, -1, 0, 1, 0, 0],
[-1, 0, 0, 0, -1, 0, 0, 0, 1],
[-1, 0, 0, 0, 0, 1, 0, 1, 0],
[-1, 0, 0, 0, 1, 0, 0, 0, -1],
[-1, 0, 0, 0, 0, -1, 0, -1, 0],
[0, -1, 0, 0, 0, -1, 1, 0, 0],
[0, -1, 0, 1, 0, 0, 0, 0, 1],
[0, -1, 0, 0, 0, 1, -1, 0, 0],
[0, -1, 0, -1, 0, 0, 0, 0, -1],
[0, 0, -1, -1, 0, 0, 0, 1, 0],
[0, 0, -1, 0, 1, 0, 1, 0, 0],
[0, 0, -1, 1, 0, 0, 0, -1, 0],
[0, 0, -1, 0, -1, 0, -1, 0, 0],
];
type Coordinates = (isize, isize, isize);
struct Scan {
probes: Vec<Coordinates>,
distances: Vec<Vec<(usize, usize, usize)>>,
}
impl TryFrom<&str> for Scan {
type Error = ParseError;
fn try_from(value: &str) -> Result<Self, Self::Error> {
let mut probes = Vec::new();
let mut distances: Vec<Vec<(usize, usize, usize)>> = Vec::new();
for line in value.lines().skip(1) {
let coords: Vec<_> = line.split(',').map(|i| i.parse()).collect::<Result<Vec<_>, _>>()?;
if coords.len() != 3 {
return Err(Self::Error::LineMalformed(line.to_string()));
}
let this = (coords[0], coords[1], coords[2]);
probes.push(this);
let mut this_distances = Vec::new();
for other in &probes {
this_distances.push((manhattan_distance(this, *other), min_distance(this, *other), max_distance(this, *other)));
}
for (idx, other_distances) in distances.iter_mut().enumerate() {
other_distances.push(this_distances[idx]);
}
distances.push(this_distances);
}
Ok(Self { probes, distances, })
}
}
pub fn run(input: &str) -> Result<(usize, usize), ParseError> {
let mut scans: Vec<_> = input.split("\n\n").map(Scan::try_from).collect::<Result<Vec<_>, _>>()?;
let mut known_beacons: HashSet<_> = scans[0].probes.iter().cloned().collect();
let mut known_distances = HashMap::new();
extend_distances(&mut known_distances, &scans[0].probes.to_vec());
let mut scanners = vec![(0, 0, 0)];
scans.swap_remove(0);
while !scans.is_empty() {
for (idx, scan) in scans.iter().enumerate() {
if let Some((scanner, report)) = find_match(&known_beacons, &known_distances, scan) {
extend_distances(&mut known_distances, &report);
scanners.push(scanner);
known_beacons.extend(report.iter());
scans.swap_remove(idx);
break;
}
}
}
let first = known_beacons.len();
let second = scanners.iter().map(|lhs| scanners.iter().map(|rhs| manhattan_distance(*lhs, *rhs)).max().unwrap()).max().unwrap();
Ok((first, second))
}
fn find_match(known_beacons: &HashSet<Coordinates>, known_distances: &HashMap<(usize, usize, usize), Vec<[Coordinates; 2]>>, scan: &Scan) -> Option<(Coordinates, Vec<Coordinates>)> {
let matches = scan.distances.iter().enumerate().flat_map(|(y, row)| row.iter().enumerate().skip(y+1).filter(|(_x, dist)| known_distances.contains_key(dist)).map(|(x, _dist)| (y, x)).collect::<Vec<_>>()).collect::<Vec<_>>();
// Ignore if we have matches for less than 12 probes (2 choose 12 = 66 matches in total)
if matches.len() < 66 {
return None;
}
for (y, x) in matches {
for known_pair in known_distances.get(&scan.distances[y][x]).unwrap() {
let [kp1, kp2] = known_pair;
let [rp1, rp2] = [scan.probes[y], scan.probes[x]];
if let Some(rotation) = ROTATIONS_MATRICES.iter()
.find(|&r| vec_sub(*kp1, matrix_mul(r, rp1)) == vec_sub(*kp2, matrix_mul(r, rp2))) {
let translation = vec_sub(*kp1, matrix_mul(rotation, rp1));
let transformed = scan.probes.iter()
.map(|p| vec_add(matrix_mul(rotation, *p), translation))
.collect::<Vec<_>>();
if transformed.iter().filter(|p| known_beacons.contains(p)).count() >= 3 {
return Some((translation, transformed));
}
}
}
}
None
}
fn extend_distances(known_distances: &mut HashMap<(usize, usize, usize), Vec<[Coordinates; 2]>>, report: &Vec<Coordinates>) {
for lhs in report {
for rhs in report {
let distances = (manhattan_distance(*lhs, *rhs), min_distance(*lhs, *rhs), max_distance(*lhs, *rhs));
known_distances.entry(distances).or_insert(Vec::from([[*lhs, *rhs]]));
}
}
}
fn matrix_mul(matrix: &[isize; 9], vec: Coordinates) -> Coordinates {
(
vec.0 * matrix[0] + vec.1 * matrix[3] + vec.2 * matrix[6],
vec.0 * matrix[1] + vec.1 * matrix[4] + vec.2 * matrix[7],
vec.0 * matrix[2] + vec.1 * matrix[5] + vec.2 * matrix[8]
)
}
fn vec_sub(lhs: Coordinates, rhs: Coordinates) -> Coordinates {
(lhs.0-rhs.0, lhs.1-rhs.1, lhs.2-rhs.2)
}
fn vec_add(lhs: Coordinates, rhs: Coordinates) -> Coordinates {
(lhs.0+rhs.0, lhs.1+rhs.1, lhs.2+rhs.2)
}
fn manhattan_distance(lhs: Coordinates, rhs: Coordinates) -> usize {
lhs.0.abs_diff(rhs.0) + lhs.1.abs_diff(rhs.1) + lhs.2.abs_diff(rhs.2)
}
fn min_distance(lhs: Coordinates, rhs: Coordinates) -> usize {
lhs.0.abs_diff(rhs.0).min(lhs.1.abs_diff(rhs.1)).min(lhs.2.abs_diff(rhs.2))
}
fn max_distance(lhs: Coordinates, rhs: Coordinates) -> usize {
lhs.0.abs_diff(rhs.0).max(lhs.1.abs_diff(rhs.1)).max(lhs.2.abs_diff(rhs.2))
}
#[cfg(test)]
mod tests {
use super::*;
use std::fs::read_to_string;
fn read_file(name: &str) -> String {
read_to_string(name).expect(&format!("Unable to read file: {name}")[..]).trim().to_string()
}
#[test]
fn test_sample() {
let sample_input = read_file("tests/sample_input");
assert_eq!(run(&sample_input), Ok((79, 3621)));
}
#[test]
fn test_challenge() {
let challenge_input = read_file("tests/challenge_input");
assert_eq!(run(&challenge_input), Ok((430, 11860)));
}
}

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--- scanner 0 ---
-377,550,716
405,-463,594
-612,-603,479
-673,637,-463
536,-465,715
821,322,-697
-676,-693,500
643,432,654
366,-500,-472
708,409,-755
469,-498,555
738,371,759
600,282,729
362,-630,-324
-446,-778,-395
-679,-672,612
-450,654,697
353,-429,-389
-661,719,-393
118,-178,-1
702,313,-718
-540,-676,-341
-716,754,-469
-313,635,722
-546,-749,-540
-46,-64,45
--- scanner 1 ---
-393,569,-783
823,673,744
492,605,-667
568,-702,420
498,-690,338
-442,536,-928
-458,-493,-747
-617,-342,422
-654,709,686
539,-496,-476
540,570,-668
-416,521,-829
756,-480,-461
-387,-515,-848
-549,614,625
-611,-406,507
666,628,-671
-592,-479,403
632,-478,-385
802,792,735
860,679,648
27,17,-91
-624,571,775
-535,-422,-848
574,-745,303
--- scanner 2 ---
558,-741,-564
646,-807,485
464,437,812
-898,-528,468
616,-770,-508
-127,-22,17
351,393,-850
532,-629,-522
-680,-690,-789
600,353,768
-655,-827,-770
593,-678,448
675,-648,590
-808,525,-539
-765,-461,537
335,474,-887
-777,396,-580
241,407,-941
-787,793,667
-973,848,720
-661,-763,-685
-789,519,-676
449,424,815
-815,754,730
-42,81,-107
-877,-464,558
--- scanner 3 ---
-436,572,-578
746,-456,727
-475,513,-649
-451,-549,481
-562,-572,-515
774,-516,696
-704,791,507
768,-722,-551
812,-661,-568
-613,684,551
700,767,716
-303,592,-650
116,21,-89
-408,-507,547
753,-717,750
609,753,-601
-62,-9,37
553,672,-596
836,-673,-599
-467,-404,-483
-660,817,634
-609,-356,-546
602,796,-590
692,646,766
-565,-477,532
702,620,743
--- scanner 4 ---
538,-453,-833
-126,24,29
-352,-473,-587
-444,-449,-740
691,-464,520
626,828,344
-565,-317,406
775,942,-788
-369,-409,417
-708,823,-645
727,935,-697
-746,539,507
-806,434,481
-789,742,-763
-556,-362,404
-690,470,523
593,877,489
405,-436,-796
317,-447,-785
-404,-427,-788
-13,189,-5
-698,727,-823
600,898,-737
561,-551,518
641,854,443
733,-626,469
--- scanner 5 ---
46,10,147
758,-651,532
-527,-618,452
-823,464,-569
690,764,759
-564,-447,-551
764,-302,-267
684,881,802
456,449,-735
435,440,-616
107,94,-30
760,846,747
-677,-709,468
-647,455,-499
-408,-549,-539
398,536,-622
-293,614,774
829,-503,-276
-385,-416,-489
-272,801,808
-563,-622,372
-612,469,-575
613,-622,632
-278,753,780
681,-373,-280
812,-549,626
--- scanner 6 ---
579,574,-541
-505,493,-632
618,658,359
-341,743,774
-322,-636,574
716,580,-522
366,-369,516
-654,544,-722
401,-424,440
-413,-618,481
-785,-692,-593
-785,-599,-445
466,-635,-650
675,451,-553
89,132,-70
-427,825,855
-398,-634,698
570,-708,-669
-60,27,13
522,657,457
-376,606,841
-684,-621,-516
485,-772,-675
475,716,376
-647,496,-573
483,-412,510
--- scanner 7 ---
512,585,-747
807,772,880
733,795,840
-767,-876,-603
-719,662,750
-612,458,-552
570,-882,858
-589,-932,-661
623,-601,-378
-343,-464,739
-589,632,-556
746,-608,-532
494,492,-838
-652,610,660
-554,584,-555
111,-115,-49
589,-757,885
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496,368,-762
618,-644,-539
696,-814,921
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737,746,813
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-23,-193,76
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-447,-527,622
--- scanner 8 ---
-419,640,-664
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705,861,595
577,-689,716
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632,-792,-344
815,768,660
490,-691,586
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676,809,607
560,496,-785
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415,-740,758
679,-805,-531
732,438,-813
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724,-803,-540
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558,494,-753
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--- scanner 9 ---
506,-688,-561
571,721,622
503,-562,-503
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-835,437,457
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314,-589,962
495,809,-475
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291,-602,907
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408,627,663
555,634,776
301,-483,836
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10,-85,163
554,772,-348
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507,-736,-526
612,828,-526
-444,-607,500
--- scanner 10 ---
-643,-839,-726
-663,-800,-791
-17,49,1
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806,-584,-592
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118,-97,56
530,403,850
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521,-484,654
881,-476,-533
954,-520,-545
781,439,-557
609,-463,682
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661,-458,693
510,298,863
-240,536,611
785,322,-393
-432,416,-779
-475,-744,471
518,305,832
823,411,-365
--- scanner 11 ---
-559,-302,-674
-766,553,760
-687,-322,850
-800,-238,758
370,-773,-566
-851,883,-504
-804,954,-655
-716,-388,-711
17,134,92
884,-743,798
905,900,-296
-681,-359,-759
-84,7,-30
851,833,-390
-756,459,918
479,-816,-448
-848,870,-519
707,-731,809
814,914,-406
503,782,753
544,911,722
767,-719,748
640,788,734
572,-776,-603
-781,-228,812
-703,514,732
--- scanner 12 ---
-593,845,571
-95,162,7
-509,-378,-516
504,-445,343
-400,708,-674
-554,-465,-583
431,-519,471
-473,-359,-516
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-931,-358,491
-906,-487,413
-628,838,754
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370,841,-913
625,922,330
663,833,302
429,-748,-651
358,939,-895
244,-687,-680
-794,-417,415
621,805,494
350,946,-926
351,-656,-694
-488,687,-737
575,-504,385
--- scanner 13 ---
-540,634,673
764,-806,-384
489,306,-588
141,-5,-53
577,221,-522
-383,-685,663
-575,616,539
-558,-546,-541
-444,-533,-673
-356,-714,588
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791,-862,408
763,728,555
610,-722,-434
758,-918,432
693,-743,468
-611,661,-390
607,-706,-368
-1,-144,-29
-280,-701,796
-706,583,-501
-709,727,-493
764,719,476
763,692,397
643,299,-606
-566,-523,-601
--- scanner 14 ---
-636,680,-483
718,525,642
822,571,-429
534,-636,-655
-464,-684,-415
34,31,141
-600,748,862
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719,758,705
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780,425,-363
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467,-723,-700
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806,549,-467
668,-416,539
746,-305,634
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701,624,670
-795,747,-546
-726,811,-463
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-82,-24,3
812,-408,536
467,-742,-736
--- scanner 15 ---
570,716,-401
813,-522,-700
-565,-663,616
577,-384,448
71,-43,-130
-641,-610,619
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563,363,512
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792,-612,-764
638,513,555
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680,-591,-767
533,452,650
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698,-382,317
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576,631,-465
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737,-417,381
-678,-502,-550
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595,735,-538
-419,340,533
--- scanner 16 ---
-99,-26,105
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-808,-569,-752
-430,-810,823
276,298,847
-545,545,909
406,-582,-466
797,-624,681
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483,-511,-365
283,346,756
390,447,-285
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341,480,-430
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814,-646,819
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320,473,796
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364,432,-384
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335,-604,-365
--- scanner 17 ---
-814,515,-501
351,736,-672
-840,-376,629
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420,355,558
452,-906,-323
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461,-873,-478
534,356,572
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346,616,-702
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786,-490,414
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278,697,-583
-163,40,154
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555,268,635
793,-482,383
688,-502,396
346,-856,-366
--- scanner 18 ---
-599,-418,-687
485,631,359
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894,-574,-927
137,-133,-101
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623,-464,487
843,-793,-941
616,-512,636
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857,650,-567
765,-461,546
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485,724,507
929,-711,-860
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948,668,-660
-730,429,-357
-605,-829,293
-24,-73,10
586,653,430
-757,-881,273
872,666,-784
--- scanner 19 ---
805,-688,638
106,-100,35
673,664,467
-736,-787,-834
-702,-600,-813
641,-450,-283
561,430,-721
-708,-739,-828
571,-441,-459
-562,-605,531
-610,479,771
590,617,600
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623,461,-542
-300,636,-543
755,-696,517
-551,-598,488
-557,-549,612
-380,632,-579
-77,14,78
611,563,-698
782,-698,664
-396,723,-429
546,708,493
-539,440,712
647,-455,-494
--- scanner 20 ---
-73,-55,-94
679,574,-740
412,-822,-515
-380,370,-593
587,593,879
-693,453,644
-818,416,667
722,670,792
450,-652,686
608,656,791
-288,297,-533
457,-835,651
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691,374,-778
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421,-914,-678
113,-67,36
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467,-797,687
-788,-744,476
538,-900,-564
-579,-816,-811
662,430,-653
-720,-744,577
-333,306,-554
-711,301,691
--- scanner 21 ---
-720,-494,-326
-779,-506,-326
725,743,-671
643,-838,-672
735,624,-742
780,-444,760
635,-395,727
-773,-551,682
523,664,668
712,637,-797
4,104,146
-655,857,-500
-883,800,504
-152,-49,102
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681,-418,775
-827,-424,-336
601,-802,-556
520,538,726
617,-733,-612
-698,874,-492
-834,-656,587
-892,821,623
519,490,691
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--- scanner 22 ---
80,-91,68
564,449,615
694,505,-425
820,-741,761
697,526,-537
-542,-761,600
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630,595,-404
558,522,416
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635,-555,-793
552,-486,-729
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464,420,470
683,-817,702
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615,-645,-662
-348,698,547
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795,-819,632
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--- scanner 23 ---
-521,536,-591
405,-522,-611
598,-743,933
739,728,856
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553,913,-698
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808,645,792
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475,888,-569
447,-593,-552
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533,-449,-537
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649,708,725
477,776,-639
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545,-781,880
105,114,172
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432,-740,930
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--- scanner 24 ---
-574,-700,-914
645,309,-801
511,564,648
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464,628,796
703,-469,305
691,-453,440
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710,348,-821
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496,-926,-724
702,-429,236
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1,-36,-128
452,672,723
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515,-953,-752
645,377,-700
421,-973,-621
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--- scanner 25 ---
-660,-612,759
44,-15,-25
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817,513,-563
412,-387,533
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666,604,559
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781,-535,-703
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742,-472,-731
341,-434,684
425,-390,548
593,616,664
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893,526,-355
--- scanner 26 ---
283,522,745
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628,-379,499
336,469,783
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286,356,742
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360,663,-726
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759,-386,584
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629,-387,636
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746,-843,-826
600,-885,-760
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424,732,-643
491,573,-706
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--- scanner 27 ---
706,-520,-692
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771,564,-698
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442,456,859
559,502,806
752,-472,-669
514,541,941
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771,471,-550
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726,-380,811
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670,542,-627
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677,-552,736
675,-422,649
851,-487,-643
-702,-565,-536
-852,-522,-461
-43,-34,179
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--- scanner 28 ---
573,505,-684
8,-24,126
428,-551,785
857,610,665
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850,592,511
495,394,-589
464,-393,785
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429,497,-687
523,-436,-581
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935,526,599
540,-535,-553
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-354,610,678
116,29,-19
522,-669,-518
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437,-472,786
--- scanner 29 ---
683,-540,-630
402,-538,-643
-329,-493,653
840,566,429
722,647,510
664,-649,866
28,-140,-104
878,620,-837
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732,696,-778
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434,-525,-638
865,-603,814
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900,551,520
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-404,258,412
--- scanner 30 ---
-299,482,-468
753,540,-526
737,658,-630
835,-810,469
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356,-836,-662
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680,719,-521
505,718,872
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885,-853,575
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-56,-7,92
385,591,857
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468,-782,-762
517,481,906
464,-930,-675
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852,-698,584
--- scanner 31 ---
-504,-722,764
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620,778,-539
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-750,-487,-538
-649,474,-531
-41,117,16
305,-582,-421
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276,-591,590
365,-453,560
420,460,710
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372,470,792
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253,-570,-392
426,-548,665
618,810,-537
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346,-635,-282
479,460,722
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676,838,-365
--- scanner 32 ---
-839,-599,715
351,-528,-912
377,598,754
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498,820,-545
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566,-519,640
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332,607,752
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496,852,-547
324,880,-489
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6,95,-6
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479,-649,638
380,-540,-860
641,-691,689
424,411,741
241,-593,-819
-601,-411,-800
-813,-584,814

View file

@ -0,0 +1,136 @@
--- scanner 0 ---
404,-588,-901
528,-643,409
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390,-675,-793
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544,-627,-890
564,392,-477
455,729,728
-892,524,684
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423,-701,434
7,-33,-71
630,319,-379
443,580,662
-789,900,-551
459,-707,401
--- scanner 1 ---
686,422,578
605,423,415
515,917,-361
-336,658,858
95,138,22
-476,619,847
-340,-569,-846
567,-361,727
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669,-402,600
729,430,532
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413,935,-424
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586,-435,557
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807,-499,-711
755,-354,-619
553,889,-390
--- scanner 2 ---
649,640,665
682,-795,504
-784,533,-524
-644,584,-595
-588,-843,648
-30,6,44
-674,560,763
500,723,-460
609,671,-379
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697,-426,-610
578,704,681
493,664,-388
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571,-461,-707
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-889,563,-600
646,-828,498
640,759,510
-630,509,768
-681,-892,-333
673,-379,-804
-742,-814,-386
577,-820,562
--- scanner 3 ---
-589,542,597
605,-692,669
-500,565,-823
-660,373,557
-458,-679,-417
-488,449,543
-626,468,-788
338,-750,-386
528,-832,-391
562,-778,733
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543,643,-506
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407,773,750
-104,29,83
378,-903,-323
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426,699,580
-438,-605,-362
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509,732,623
647,635,-688
-868,-804,481
614,-800,639
595,780,-596
--- scanner 4 ---
727,592,562
-293,-554,779
441,611,-461
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832,-632,460
927,-485,-438
408,393,-506
466,436,-512
110,16,151
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808,-476,-593
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872,-547,-609
833,512,582
807,604,487
839,-516,451
891,-625,532
-652,-548,-490
30,-46,-14