--- title: "Dyalog APL Problem Solving Competition 2020 — Phase II" subtitle: "Annotated Solutions" date: 2020-08-02 toc: true --- * Introduction After [[./dyalog-apl-competition-2020-phase-1.html][Phase I]], here are my solutions to Phase II problems. The full code is included in the post, but everything is also available [[https://github.com/dlozeve/apl-competition-2020][on GitHub]]. A PDF of the problems descriptions is available on [[https://www.dyalogaplcompetition.com/][the competition website]], or directly from [[https://github.com/dlozeve/apl-competition-2020/blob/master/Contest2020/2020%20APL%20Problem%20Solving%20Competition%20Phase%20II%20Problems.pdf][my GitHub repo]]. The submission guidelines gave a template where everything is defined in a ~Contest2020.Problems~ Namespace. I kept the default values for ~⎕IO~ and ~⎕ML~ because the problems were not particularly easier with ~⎕IO←0~. #+begin_src default :Namespace Contest2020 :Namespace Problems (⎕IO ⎕ML ⎕WX)←1 1 3 #+end_src #+begin_quote This post is still a work in progress! I will try to write explanations for every problem below. #+end_quote * Problem 1 -- Take a Dive #+begin_src default ∇ score←dd DiveScore scores :If 7=≢scores scores←scores[¯2↓2↓⍋scores] :ElseIf 5=≢scores scores←scores[¯1↓1↓⍋scores] :Else scores←scores :EndIf score←2(⍎⍕)dd×+/scores ∇ #+end_src This is a very straightforward implementation of the algorithm describe in the problem description. I decided to switch explicitly on the size of the input vector because I feel it is more natural. For the cases with 5 or 7 judges, we use Drop (~↓~) to remove the lowest and highest scores. At the end, we sum up the scores with ~+/~ and multiply them by ~dd~. The last operation, ~2(⍎⍕)~, is a train using [[https://help.dyalog.com/18.0/index.htm#Language/Primitive%20Functions/Format%20Dyadic.htm][Format (Dyadic)]] to round to 2 decimal places, and [[https://help.dyalog.com/18.0/index.htm#Language/Primitive%20Functions/Execute.htm][Execute]] to get actual numbers and not strings. * Problem 2 -- Another Step in the Proper Direction #+begin_src default ∇ steps←{p}Steps fromTo;segments;width width←|-/fromTo :If 0=⎕NC'p' ⍝ No left argument: same as Problem 5 of Phase I segments←0,⍳width :ElseIf p<0 ⍝ -⌊p is the number of equally-sized steps to take segments←(-⌊p){0,⍵×⍺÷⍨⍳⍺}width :ElseIf p>0 ⍝ p is the step size segments←p{⍵⌊⍺×0,⍳⌈⍵÷⍺}width :ElseIf p=0 ⍝ As if we took zero step segments←0 :EndIf ⍝ Take into account the start point and the direction. steps←fromTo{(⊃⍺)+(-×-/⍺)×⍵}segments ∇ #+end_src This is an extension to [[./dyalog-apl-competition-2020-phase-1.html#stepping-in-the-proper-direction][Problem 5 of Phase I]]. In each case, we compute the "segments", i.e., the steps starting from 0. In a last step, common to all cases, we add the correct starting point and correct the direction if need be. To compute equally-sized steps, we first divide the segment $[0, 1]$ in ~p~ equal segments with ~(⍳p)÷p~. This subdivision can then be multiplied by the width to obtain the required segments. When ~p~ is the step size, we just divide the width by the step size (rounded to the next largest integer) to get the required number of segments. If the last segment is too large, we "crop" it to the width with Minimum (~⌊~). * Problem 3 -- Past Tasks Blast #+begin_src default ∇ urls←PastTasks url;r;paths r←HttpCommand.Get url paths←('[a-zA-Z0-9_/]+\.pdf'⎕S'&')r.Data urls←('https://www.dyalog.com/'∘,)¨paths ∇ #+end_src I decided to use ~HttpCommand~ for this task, since it is simply one ~]load HttpCommand~ away and should be platform-independent. Parsing XML is not something I consider "fun" in the best of cases, and I feel like APL is not the best language to do this kind of thing. Given how simple the task is, I just decided to find the relevant bits with a regular expression using [[https://help.dyalog.com/18.0/index.htm#Language/System%20Functions/r.htm][Replace and Search]] (~⎕S~). After finding all the strings vaguely resembling a PDF file name (only alphanumeric characters and underscores, with a =.pdf= extension), I just concatenate them to the base URL of the Dyalog domain. * Problem 4 -- Bioinformatics The first task can be solved by decomposing it into several functions. #+begin_src default ⍝ Test if a DNA string is a reverse palindrome. isrevp←{⍵≡⌽'TAGC'['ATCG'⍳⍵]} #+end_src First, we compute the complement of a DNA string (using simple indexing) and test if its Reverse (~⌽~) is equal to the original string. #+begin_src default ⍝ Generate all subarrays (position, length) pairs, for 4 ≤ length ≤ 12. subarrays←{⊃,/(⍳⍵),¨¨3↓¨⍳¨12⌊1+⍵-⍳⍵} #+end_src We first compute all the possible lengths for each starting point. For instance, the last element cannot have any (position, length) pair associated to it, because there is no three element following it. So we crop the possible lengths to $[3, 12]$. For instance for an array of size 10: #+begin_src default {3↓¨⍳¨12⌊1+⍵-⍳⍵}10 ┌──────────────┬───────────┬─────────┬───────┬─────┬───┬─┬┬┬┐ │4 5 6 7 8 9 10│4 5 6 7 8 9│4 5 6 7 8│4 5 6 7│4 5 6│4 5│4││││ └──────────────┴───────────┴─────────┴───────┴─────┴───┴─┴┴┴┘ #+end_src Then, we just add the corresponding starting position to each length (1 for the first block, 2 for the second, and so on). Finally, we flatten everything. #+begin_src default ∇ r←revp dna;positions positions←subarrays⍴dna ⍝ Filter subarrays which are reverse palindromes. r←↑({isrevp dna[¯1+⍵[1]+⍳⍵[2]]}¨positions)/positions ∇ #+end_src For each possible (position, length) pair, we get the corresponding DNA substring with ~dna[¯1+⍵[1]+⍳⍵[2]]~ (adding ~¯1~ is necessary because ~⎕IO←1~). We test if this substring is a reverse palindrome using ~isrevp~ above. [[https://help.dyalog.com/18.0/index.htm#Language/Primitive%20Functions/Replicate.htm][Replicate]] (~/~) then selects only the (position, length) pairs for which the substring is a reverse palindrome. The second task is just about counting the number of subsets modulo 1,000,000. So we just need to compute $2^n \mod 1000000$ for any positive integer $n\leq1000$. #+begin_src default sset←{((1E6|2∘×)⍣⍵)1} #+end_src Since we cannot just compute $2^n$ directly and take the remainder, we use modular arithmetic to stay mod 1,000,000 during the whole computation. The dfn ~(1E6|2∘×)~ doubles its argument mod 1,000,000. So we just apply this function $n$ times using the [[https://help.dyalog.com/18.0/index.htm#Language/Primitive%20Operators/Power%20Operator.htm][Power]] operator (~⍣~), with an initial value of 1. * Problem 5 -- Future and Present Value #+begin_src default ⍝ First solution: ((1+⊢)⊥⊣) computes the total return ⍝ for a vector of amounts ⍺ and a vector of rates ⍝ ⍵. It is applied to every prefix subarray of amounts ⍝ and rates to get all intermediate values. However, ⍝ this has quadratic complexity. ⍝ rr←(,\⊣)((1+⊢)⊥⊣)¨(,\⊢) ⍝ Second solution: We want to be able to use the ⍝ recurrence relation (recur) and scan through the ⍝ vectors of amounts and rates, accumulating the total ⍝ value at every time step. However, APL evaluation is ⍝ right-associative, so a simple Scan ⍝ (recur\amounts,¨values) would not give the correct ⍝ result, since recur is not associative and we need ⍝ to evaluate it left-to-right. (In any case, in this ⍝ case, Scan would have quadratic complexity, so would ⍝ not bring any benefit over the previous solution.) ⍝ What we need is something akin to Haskell's scanl ⍝ function, which would evaluate left to right in O(n) ⍝ time. This is what we do here, accumulating values ⍝ from left to right. (This is inspired from ⍝ dfns.ascan, although heavily simplified.) rr←{recur←{⍵[1]+⍺×1+⍵[2]} ⋄ 1↓⌽⊃{(⊂(⊃⍵)recur⍺),⍵}/⌽⍺,¨⍵} #+end_src #+begin_src default ⍝ Simply apply the formula for cashflow calculations. pv←{+/⍺÷×\1+⍵} #+end_src * Problem 6 -- Merge #+begin_src default ∇ val←ns getval var :If ''≡var ⍝ literal '@' val←'@' :ElseIf (⊂var)∊ns.⎕NL ¯2 val←⍕ns⍎var :Else val←'???' :EndIf ∇ #+end_src #+begin_src default ∇ text←templateFile Merge jsonFile;template;ns template←⊃⎕NGET templateFile 1 ns←⎕JSON⊃⎕NGET jsonFile ⍝ We use a simple regex search and replace on the ⍝ template. text←↑('@[a-zA-Z]*@'⎕R{ns getval ¯1↓1↓⍵.Match})template ∇ #+end_src * Problem 7 -- UPC #+begin_src default CheckDigit←{10|-⍵+.×11⍴3 1} #+end_src #+begin_src default ⍝ Left and right representations of digits. Decoding ⍝ the binary representation from decimal is more ⍝ compact than writing everything explicitly. lrepr←⍉(7⍴2)⊤13 25 19 61 35 49 47 59 55 11 rrepr←~¨lrepr #+end_src #+begin_src default ∇ bits←WriteUPC digits;left;right :If (11=≢digits)∧∧/digits∊0,⍳9 left←,lrepr[1+6↑digits;] right←,rrepr[1+6↓digits,CheckDigit digits;] bits←1 0 1,left,0 1 0 1 0,right,1 0 1 :Else bits←¯1 :EndIf ∇ #+end_src #+begin_src default ∇ digits←ReadUPC bits :If 95≠⍴bits ⍝ incorrect number of bits digits←¯1 :Else ⍝ Test if the barcode was scanned right-to-left. :If 0=2|+/bits[3+⍳7] bits←⌽bits :EndIf digits←({¯1+lrepr⍳⍵}¨(7/⍳6)⊆42↑3↓bits),{¯1+rrepr⍳⍵}¨(7/⍳6)⊆¯42↑¯3↓bits :If ~∧/digits∊0,⍳9 ⍝ incorrect parity digits←¯1 :ElseIf (⊃⌽digits)≠CheckDigit ¯1↓digits ⍝ incorrect check digit digits←¯1 :EndIf :EndIf ∇ #+end_src * Problem 8 -- Balancing the Scales #+begin_src default ∇ parts←Balance nums;subsets;partitions ⍝ This is a brute force solution, running in ⍝ exponential time. We generate all the possible ⍝ partitions, filter out those which are not ⍝ balanced, and return the first matching one. There ⍝ are more advanced approach running in ⍝ pseudo-polynomial time (based on dynamic ⍝ programming, see the "Partition problem" Wikipedia ⍝ page), but they are not warranted here, as the ⍝ input size remains fairly small. ⍝ Generate all partitions of a vector of a given ⍝ size, as binary mask vectors. subsets←{1↓2⊥⍣¯1⍳2*⍵} ⍝ Keep only the subsets whose sum is exactly ⍝ (+/nums)÷2. partitions←nums{((2÷⍨+/⍺)=⍺+.×⍵)/⍵}subsets⍴nums :If 0=≢,partitions ⍝ If no partition satisfy the above ⍝ criterion, we return ⍬. parts←⍬ :Else ⍝ Otherwise, we return the first possible ⍝ partition. parts←nums{((⊂,(⊂~))⊃↓⍉⍵)/¨2⍴⊂⍺}partitions :EndIf ∇ #+end_src * Problem 9 -- Upwardly Mobile #+begin_src default ∇ weights←Weights filename;mobile;branches;mat ⍝ Put your code and comments below here ⍝ Parse the mobile input file. mobile←↑⊃⎕NGET filename 1 branches←⍸mobile∊'┌┴┐' ⍝ TODO: Build the matrix of coefficients mat. ⍝ Solve the system of equations (arbitrarily setting ⍝ the first variable at 1 because the system is ⍝ overdetermined), then multiply the coefficients by ⍝ their least common multiple to get the smallest ⍝ integer weights. weights←((1∘,)×(∧/÷))mat[;1]⌹1↓[2]mat ∇ #+end_src #+begin_src default :EndNamespace :EndNamespace #+end_src