day 21 part 2, got it!
I was overwriting created states in new-states while I should have been cumulating.
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@@ -10,61 +10,48 @@
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(player-2 (begin
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(get-string-n file (string-length "Player 2 starting position: "))
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(get-number file)))]
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; subtracting one to play with a board numbered 0..9 instead of 1..10, just easier
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(values (- player-1 1) (- player-2 1))))))
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(values player-1 player-2)))))
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; returns a lambda that yields increasing numbers from 1 to 100, then repeating back from 1
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(define (deterministic-dice)
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(let [(value -1)]
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(lambda ()
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(set! value (mod (+ value 1) 100))
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(+ value 1))))
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(define (roll! position-score dice)
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(set-car! position-score (mod (+ (car position-score) (dice) (dice) (dice)) 10))
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(set-cdr! position-score (+ (car position-score) (cdr position-score) 1)))
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(define (play-deterministic position-1 position-2)
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(let [(player-1 (cons position-1 0)) ; each player pair is (position . score)
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(player-2 (cons position-2 0))
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(dice (deterministic-dice))
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(rolls 0)]
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(let loop ()
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(roll! player-1 dice)
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(set! rolls (+ rolls 3))
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(if (>= (cdr player-1) 1000)
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(* (cdr player-2) rolls)
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(begin
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(roll! player-2 dice)
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(set! rolls (+ rolls 3))
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(if (>= (cdr player-1) 1000)
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(* (cdr player-1) rolls)
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(loop)))))))
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(define (dirac-dice outcome)
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(let [(next outcome)]
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(lambda ()
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(if (null? next)
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#f
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(let [(value (car next))]
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(set! next (cdr next))
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value)))))
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(define (vector-sum vec start end)
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(vector-fold
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(lambda (i a x)
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(if (and (>= i start)
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(< i end))
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(+ a x)
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a))
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0 vec))
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; play a game of dirac with a magic deterministic dice that always yields increasing values
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; returned value is multiplication of dice roll count and final score of opponent
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(define (play-deterministic position-1 position-2 win-score)
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(let [(dice (deterministic-dice))]
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; we subtract one from position so that we can just use "mod 10" to wrap around
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(let repeat [(player-1 (cons (- position-1 1) 0)) ; each player pair is (position . score)
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(player-2 (cons (- position-2 1) 0))
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(rolls 3)]
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(let* [(new-position (mod (+ (car player-1) (dice) (dice) (dice)) 10))
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; add 1 to account for off by 1 positions
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(new-score (+ new-position (cdr player-1) 1))]
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(if (>= new-score win-score)
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(* (cdr player-2) rolls)
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; swap players in next iteration
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(repeat player-2 (cons new-position new-score) (+ 3 rolls)))))))
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; state of an universe playing dirac, two players pawn position with their scores
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(define-record-type state
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(fields
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(mutable position-1)
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; positions are 0..9 instead of input's 1..10
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; so we can just mod 10 while incrementing position
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(mutable position-1)
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(mutable score-1)
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(mutable position-2)
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(mutable score-2)))
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(define (state-copy state)
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(make-state
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(state-position-1 state)
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(state-score-1 state)
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(state-position-2 state)
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(state-score-2 state)))
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(define (state-equal? l r)
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(and (equal? (state-position-1 l) (state-position-1 r))
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(equal? (state-position-2 l) (state-position-2 r))
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@@ -74,8 +61,8 @@
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(define (state-hash state)
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(+ (state-position-1 state)
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(* 6700417 (+ (state-position-2 state)
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(* 6700417 (+ (state-score-1 state)
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(* 6700417 (state-score-2 state))))))))
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(* 6700417 (+ (state-score-1 state)
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(* 6700417 (state-score-2 state))))))))
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(define (make-state-hashtable)
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(make-hashtable state-hash state-equal?))
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@@ -87,10 +74,8 @@
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(define (hashtable-empty? ht)
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(= (hashtable-size ht) 0))
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; list of possible values obtained by summing 3 rolls of "3 sided dice"
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; car is summed value of the 3 dice
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; cdr is how many permutations give that sum
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(define 3d3-outcomes
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; sum and amount of permutations of 3 3-sided dice
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(define dirac-dice
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'((3 . 1) ; (1 1 1)
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(4 . 3) ; (1 1 2) (1 2 1) (2 1 1)
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(5 . 6) ; (1 1 3) (1 2 2) (1 3 1) (2 1 2) (2 2 1) (3 1 1)
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@@ -99,67 +84,54 @@
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(8 . 3) ; (2 3 3) (3 2 3) (3 3 2)
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(9 . 1))) ; (3 3 3)
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(define (dirac-roll! states get-position get-score new-state)
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(let [(wins 0)
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(new (make-state-hashtable))]
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(for-each
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(lambda (outcome)
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(let [(sum (car outcome))
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(permutations (cdr outcome))]
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(hashtable-for-each
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(lambda (state amount)
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(let* [(new-position (mod (+ (get-position state) sum) 10))
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(new-score (+ (get-score state) new-position 1))
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(universes (* amount permutations))]
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(if (>= new-score 21)
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(set! wins (+ wins universes))
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(hashtable-set! new (new-state new-position new-score state) universes))))
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states)))
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3d3-outcomes)
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(values wins new)))
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; roll dice creating as many necessary universes in the process
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; returns amount of wins obtained with this call and new states
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(define (dirac-roll win-score states player)
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(let-values [((get-position get-score set-position! set-score!)
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(if (= player 1)
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(values state-position-1 state-score-1
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state-position-1-set! state-score-1-set!)
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(values state-position-2 state-score-2
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state-position-2-set! state-score-2-set!)))]
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(let [(additional-wins 0)
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(new-states (make-state-hashtable))]
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(for-each
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(lambda (outcome)
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(let [(sum (car outcome))
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(permutations (cdr outcome))]
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(hashtable-for-each
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(lambda (state amount)
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(let* [(new-position (mod (+ (get-position state) sum) 10))
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(new-score (+ (get-score state) new-position 1))
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(universes (* amount permutations))]
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(if (>= new-score win-score)
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(set! additional-wins (+ additional-wins universes))
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(let [(new-state (state-copy state))]
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(set-position! new-state new-position)
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(set-score! new-state new-score)
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(hashtable-set! new-states new-state
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(+ universes (hashtable-ref new-states new-state 0)))))))
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states)))
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dirac-dice)
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(values additional-wins new-states))))
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(define (print-states states)
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(hashtable-for-each
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(lambda (state amount)
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(printf "~20a : ~a~%" state amount))
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states))
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(define (play-dirac position-1 position-2)
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; "states" tracks the amount of universes currently using a given state
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(printf "Player 1 starting at ~a, player 2 at ~a~%" position-1 position-2)
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(let [(states (make-state-hashtable))
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(wins-1 0)
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(wins-2 0)]
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(hashtable-set! states (make-state position-1 0 position-2 0) 1)
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(let loop ()
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(let-values [((wins new-states)
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(dirac-roll! states state-position-1 state-score-1
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(lambda (new-position new-score old-state)
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(make-state
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new-position new-score
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(state-position-2 old-state) (state-score-2 old-state)))))]
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;(printf "P1:~%")
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;(print-states new-states)
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(set! wins-1 (+ wins-1 wins))
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(printf "P1 wins: ~10a => ~a~%" wins wins-1)
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(set! states new-states))
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(let-values [((wins new-states)
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(dirac-roll! states state-position-2 state-score-2
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(lambda (new-position new-score old-state)
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(make-state
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(state-position-1 old-state) (state-score-1 old-state)
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new-position new-score))))]
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;(printf "P2:~%")
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;(print-states new-states)
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(set! wins-2 (+ wins-2 wins))
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(printf "P2 wins: ~10a => ~a~%" wins wins-2)
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(set! states new-states))
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(if (hashtable-empty? states)
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(max wins-1 wins-2)
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(loop)))))
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; play dirac dice starting from given positions up until the given score
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; returned value is maximum number of wins for any of the two players
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(define (play-dirac position-1 position-2 win-score)
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(let [(init-state (make-state-hashtable))]
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(hashtable-set! init-state (make-state (- position-1 1) 0 (- position-2 1) 0) 1)
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; "states" tracks the amount of universes currently using a given state
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(let repeat [(states init-state) (player-1-wins 0) (player-2-wins 0) (player 1)]
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(let-values [((additional-wins new-states)
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(dirac-roll win-score states player))]
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(set! player-1-wins (+ player-1-wins additional-wins))
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(if (hashtable-empty? new-states) ; have all universes finished playing?
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(max player-1-wins player-2-wins)
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; swap players in next iteration
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(repeat new-states player-2-wins player-1-wins (- 1 player)))))))
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(let-values [((position-1 position-2) (read-starting-positions "input"))]
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(printf "part 1:~% Rolls * Opponent Score = ~a~%"
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(play-deterministic position-1 position-2))
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(play-deterministic position-1 position-2 1000))
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(printf "part 2:~% Max Winning Universes: ~a~%"
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(play-dirac position-1 position-2)))
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(play-dirac position-1 position-2 21)))
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