start day3
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#lang racket
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(require rackunit)
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(provide read-syntax)
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(define (str->visits str)
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(define start '(0 0))
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(define moves (map (λ(move) (case move
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[("^") '(0 1)]
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[("v") '(0 -1)]
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[("<") '(-1 0)]
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[(">") '(1 0)]))
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(regexp-match* #rx"." str)))
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(reverse (for/fold ([visit-acc (list start)])
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([move (in-list moves)])
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(cons (map + move (car visit-acc)) visit-acc))))
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(define (str->unique-visits str)
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(define visits (str->visits str))
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(length (remove-duplicates visits)))
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(define (str->robosanta str)
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(define-values (reversed-santa-path reversed-robo-path)
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(for/fold ([santa-acc empty][robo-acc empty])
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([c (in-string str)][pos (in-naturals)])
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(if (even? pos)
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(values (cons c santa-acc) robo-acc)
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(values santa-acc (cons c robo-acc)))))
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(define santa-str (string-append* (map ~a (reverse reversed-santa-path))))
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(define robo-str (string-append* (map ~a (reverse reversed-robo-path))))
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(length (remove-duplicates (append (str->visits santa-str) (str->visits robo-str)))))
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(check-equal? (str->unique-visits ">") 2)
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(check-equal? (str->unique-visits "^>v<") 4)
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(check-equal? (str->robosanta "^v") 3)
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(check-equal? (str->robosanta "^>v<") 3)
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(check-equal? (str->robosanta "^v^v^v^v^v") 11)
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(define (read-syntax source-path-string in-port)
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(with-syntax ([source-str (string-trim (port->string in-port))]
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[str->unique-visits str->unique-visits]
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[str->robosanta str->robosanta])
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#'(module _ racket
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(str->unique-visits source-str)
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(str->robosanta source-str))))
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#lang scribble/lp2
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@(require scribble/manual aoc-racket/helper)
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@aoc-title[3]
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Our @link-rp["day3/input.txt"]{input} is a string made of the characters @litchar{^v<>} that represent north, south, west, and east. Taken together, the string represents a path through an indefinitely large grid.
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In essence, this a two-dimensional version of the elevator problem in @secref["day-1"].
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@chunk[<day3>
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<setup>
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<test>]
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@section{How many grid cells are visited?}
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In the elevator problem, we modeled the parentheses that represented up and down as @racket[1] and @racket[-1]. We'll proceed the same way here, but we'll assign Cartesian coordinates to each possible move — @racket['(0 1)] for north, @racket['(-1 0)] for west, and so on.
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For dual-valued data, whether to use @seclink["pairs" #:doc '(lib "scribblings/guide/guide.scrbl")]{pairs or lists} is largely a stylistic choice. How do you plan to process the data? In this case, the way we create the path is by adding the x and y coordinates of the current cell and the new move. So it ends up being convenient to model these cells as lists rather than pairs, so we can add them with a simple @racket[(map + move cell)].
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Once the whole cell path is computed, the answer is found by removing duplicate cells and counting how many remain.
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@chunk[<setup>
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(require racket rackunit)
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(define (string->cells str)
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(define start '(0 0))
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(define moves (for/list ([s (in-list (regexp-match* #rx"." str))])
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(case s
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[("^") '(0 1)]
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[("v") '(0 -1)]
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[("<") '(-1 0)]
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[(">") '(1 0)])))
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(reverse (for/fold ([cells-so-far (list start)])
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([move (in-list moves)])
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(define last-cell (car cells-so-far))
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(define next-cell (map + move last-cell))
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(cons next-cell cells-so-far))))
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(define (q1 str)
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(length (remove-duplicates (string->cells str))))]
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@section{How many grid cells are visited if ?}
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@chunk[<test>
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(module+ test
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(define input-str (file->string "input.txt"))
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(check-equal? (q1 input-str) 2565)
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#;(check-equal? (q2 input-str) 2639))]
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Reference in New Issue