day 15 p.1: scanners and beacons, bad solution
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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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;; https://adventofcode.com/2022/day/15
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;;
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;; oh, wow. i can already imagine the second part of the task
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;; so. for arrangements of (sensor closest-beacon)
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;; i need to figure out which points are out of rangle for all sensors?
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;; where "range" is distance between sensor and the closest-beacon
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;;
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;; so for each sensor also store distance, and each sensor should be able to answer query for point
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;; whether it disproves existence of a beacone there
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;; then for ( POINTS x SENSORS ) computations i'll be able to mark all points that aren't covered.
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;;
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;; doesn't seem like too much
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(ql:quickload 'cl-ppcre)
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;; poor man's parsing
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(rest (mapcar (lambda (str)
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(parse-integer str :junk-allowed t))
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(cl-ppcre:split "="
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"Sensor at x=2, y=18: closest beacon is at x=-2, y=15")))
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;; manhattan distance : https://en.wikipedia.org/wiki/Taxicab_geometry
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;; sum of abs of coord-diffs
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(defclass point ()
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((x :initarg :x :reader x)
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(y :initarg :y :reader y)))
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(defmethod print-object ((obj point) stream)
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(print-unreadable-object (obj stream :type t)
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(with-slots (x y)
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obj
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(format stream "x:~a y:~a" x y))))
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(defparameter *test-point-1*
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(make-instance 'point :x 1 :y 19))
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(defparameter *test-point-2*
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(make-instance 'point :x -2 :y -20))
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(defmethod manh-dist ((one point) (two point))
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(+ (abs (- (x one) (x two)))
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(abs (- (y one) (y two)))))
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(manh-dist *test-point-1* *test-point-2*)
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;; i guess this is right
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(defclass sensor ()
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((self-coord :initarg :self :reader self-coord)
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(beacon-coord :initarg :beacon :reader beacon-coord)
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(covered-dist :initarg :dist :reader covered-dist)))
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(defun make-sensor (sens-x sens-y beac-x beac-y)
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(let* ((sensor (make-instance 'point :x sens-x :y sens-y))
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(beacon (make-instance 'point :x beac-x :y beac-y))
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(dist (manh-dist sensor beacon)))
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(make-instance 'sensor :self sensor :beacon beacon :dist dist)))
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(defmethod print-object ((obj sensor) stream)
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(print-unreadable-object (obj stream :type t)
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(with-slots (self-coord beacon-coord covered-dist)
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obj
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(format stream "at: ~a, linked to: ~a, covering dist: ~a"
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self-coord beacon-coord covered-dist))))
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(defparameter *test-sensor* (make-sensor 2 18 -2 15))
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(defmethod can-have-unknown-beacon-p ((p point) (s sensor))
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(> (manh-dist p (self-coord s))
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(covered-dist s)))
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(manh-dist *test-point-1* (self-coord *test-sensor*))
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(can-have-unknown-beacon-p *test-point-1* *test-sensor*)
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(manh-dist *test-point-2* (self-coord *test-sensor*))
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(can-have-unknown-beacon-p *test-point-2* *test-sensor*)
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;; ok. now read in all sensors?
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;; and then for line with specified 'y'
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;; and from leftmost to rightmost S or B for each point ask each sensor if possible
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;; to have an unknown beacon, if any says "no" - then no
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;; otherwise - count
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(defparameter *day15-input-file* "day15-test.txt")
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(defun line-to-coords (line)
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(rest (mapcar (lambda (str)
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(parse-integer str :junk-allowed t))
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(cl-ppcre:split "=" line))))
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(defparameter *day15-sensors-list* nil)
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(setq *day15-sensors-list*
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(mapcar (lambda (coords-list)
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(apply #'make-sensor coords-list))
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(mapcar #'line-to-coords (uiop:read-file-lines *day15-input-file*))))
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;; next - find lovest x and highest x
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;; but then i guess i'd also want lovest and highest y overall
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;; that's neat
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(loop
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for sensor in *day15-sensors-list*
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minimize (x (self-coord sensor)) into xs
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minimize (x (beacon-coord sensor)) into xs
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maximize (x (self-coord sensor)) into xm
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maximize (x (beacon-coord sensor)) into xm
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minimize (y (self-coord sensor)) into ys
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minimize (y (beacon-coord sensor)) into ys
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maximize (y (self-coord sensor)) into ym
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maximize (y (beacon-coord sensor)) into ym
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finally (return (list xs xm ys ym)))
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;; (-2 25 0 22)
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;; now for line y=10 check all x and count how many -for-all- sensors allow new point
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(defun all-sensors-allow-for-hidden-beacon (point sensors)
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(macroexpand `(and ,@(mapcar (lambda (sensor) (can-have-unknown-beacon-p point sensor))
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sensors))))
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(defun all-sensors-allow-for-hidden-beacon (point sensors)
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(not (position nil (mapcar (lambda (sensor) (can-have-unknown-beacon-p point sensor))
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sensors))))
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;; well, do i have to write my own function for AND ?
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(when (all-sensors-allow-for-hidden-beacon *test-point-2* *day15-sensors-list*)
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1)
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(when (all-sensors-allow-for-hidden-beacon *test-point-1* *day15-sensors-list*)
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1)
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;; count how many ARE covered
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(loop
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for x from -2 to 25
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count (not (all-sensors-allow-for-hidden-beacon
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(make-instance 'point :x x :y 10)
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*day15-sensors-list*)))
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;; on the image it's from -2 and till 24, so should be 27, if counting 0
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;; well. we're counting posistions "wher beacon can't possibly exist"
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;; so removing points which _are_ beacons?
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;;
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;; and - range needs to be extended significantly, no?
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;; what would be enough?
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;; doubling into each direction?
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(defmethod points-equal ((left point) (right point))
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(and (= (x left) (x right))
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(= (y left) (y right))))
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(points-equal (make-instance 'point :x 1 :y 1)
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(make-instance 'point :x 1 :y 1))
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(defun possible-to-have-beacon (point sensors)
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(let ((all-checks
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(mapcar (lambda (sensor)
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(if (points-equal point (beacon-coord sensor))
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'known-sensor
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(can-have-unknown-beacon-p point sensor) ; single NIL means - not possible to have unknown
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))
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sensors)))
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(or (not (position nil all-checks)) ; nil if all sensors allow (said T) presense of unknown beacons
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(position 'known-sensor all-checks) ; exists known sensor
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)))
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;; beacon is possible : either sensor has beacon at that point
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;; or position is out of the sensor range
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;; but here's the thing. if sencor-beacon is at this point - need to short-circuit T
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(possible-to-have-beacon *test-point-2* *day15-sensors-list*)
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(possible-to-have-beacon *test-point-1* *day15-sensors-list*)
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(possible-to-have-beacon (make-instance 'point :x -2 :y 15) *day15-sensors-list*)
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;; i guess that works
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;; count how many ARE covered
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(loop
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for x from -2 to 25
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count (not (possible-to-have-beacon
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(make-instance 'point :x x :y 10)
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*day15-sensors-list*)))
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;; ok.
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@ -0,0 +1,14 @@
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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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;; https://adventofcode.com/2022/day/15
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(ql:quickload 'cl-ppcre)
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(defparameter *day15-input-file* "day15-test.txt")
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(defclass point ()
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((x :initarg :x :reader x)
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(y :initarg :y :reader y)))
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(defmethod print-object ((obj point) stream)
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(print-unreadable-object (obj stream :type t)
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(with-slots (x y)
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obj
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(format stream "x:~a y:~a" x y))))
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(defmethod points-equal ((left point) (right point))
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(and (= (x left) (x right))
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(= (y left) (y right))))
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(defclass sensor ()
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((self-coord :initarg :self :reader self-coord)
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(beacon-coord :initarg :beacon :reader beacon-coord)
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(covered-dist :initarg :dist :reader covered-dist)))
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(defun make-sensor (sens-x sens-y beac-x beac-y)
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(let* ((sensor (make-instance 'point :x sens-x :y sens-y))
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(beacon (make-instance 'point :x beac-x :y beac-y))
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(dist (manh-dist sensor beacon)))
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(make-instance 'sensor :self sensor :beacon beacon :dist dist)))
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(defmethod print-object ((obj sensor) stream)
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(print-unreadable-object (obj stream :type t)
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(with-slots (self-coord beacon-coord covered-dist)
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obj
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(format stream "at: ~a, linked to: ~a, covering dist: ~a"
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self-coord beacon-coord covered-dist))))
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(defmethod can-have-unknown-beacon-p ((p point) (s sensor))
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(> (manh-dist p (self-coord s))
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(covered-dist s)))
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(defun line-to-coords (line)
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(rest (mapcar (lambda (str)
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(parse-integer str :junk-allowed t))
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(cl-ppcre:split "=" line))))
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(defun get-sensors-list (input-file-name)
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(mapcar (lambda (coords-list)
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(apply #'make-sensor coords-list))
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(mapcar #'line-to-coords (uiop:read-file-lines input-file-name))))
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(defun get-limits (sensors-list)
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(loop
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for sensor in sensors-list
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minimize (x (self-coord sensor)) into xs
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minimize (x (beacon-coord sensor)) into xs
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maximize (x (self-coord sensor)) into xm
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maximize (x (beacon-coord sensor)) into xm
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minimize (y (self-coord sensor)) into ys
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minimize (y (beacon-coord sensor)) into ys
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maximize (y (self-coord sensor)) into ym
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maximize (y (beacon-coord sensor)) into ym
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finally (return (list xs xm ys ym))))
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(defun possible-to-have-beacon (point sensors)
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(let ((all-checks
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(mapcar (lambda (sensor)
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(if (points-equal point (beacon-coord sensor))
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'known-sensor
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(can-have-unknown-beacon-p point sensor) ; single NIL means - not possible to have unknown
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))
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sensors)))
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(or (not (position nil all-checks)) ; nil if all sensors allow (said T) presense of unknown beacons
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(position 'known-sensor all-checks) ; exists known sensor
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)))
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(defun count-certainly-not-beacons (input-file-name)
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(let ((sensors (get-sensors-list input-file-name)))
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(destructuring-bind (min-x max-x min-y max-y)
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(get-limits sensors)
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(let ((to-add-x (abs (- max-x min-x)))
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;; (to-check-y 10)
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(to-check-y 2000000)
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)
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(loop
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for x from (- min-x to-add-x) to (+ max-x to-add-x)
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count (not (possible-to-have-beacon
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(make-instance 'point :x x :y to-check-y)
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sensors))
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do (format t "iterating for x:~a y:~a~%" x to-check-y))))))
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(count-certainly-not-beacons "day15-test.txt")
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(count-certainly-not-beacons "day15-input.txt")
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;; well, that's just too slow
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;; how do i rewrite it to make it faster?
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;; i guess i could exclude the sensors which are too far away from the list?
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;;
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;; well, optimization here that we move by 1 point toward or away from sensor
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;; so, we can kind of calculate when we'll be in it's range?
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;; * in what amount of steps
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;; ** whoa, org colors
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;;
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;; so.
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;; PART 2 - just start search overnight?
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;; for 0 to 4.000.000 by x and y?
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;; and collect all such possible x and y?
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;; nope, even if it were 5 minutes for 16mil,
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;; so 2 minutes per 4 mil, then multiply by 4M - more than a day.
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;; think better
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