4clojure 152 - Latin Square Slicing
A Latin square of order n
is an n
x n
array that contains n
different elements, each occurring exactly once in each row, and exactly once in each column. For example, among the following arrays only the first one forms a Latin square:
A B C A B C A B C
B C A B C A B D A
C A B C A C C A B
Let V
be a vector of such vectors1 that they may differ in length2. We will say that an arrangement of vectors of V
in consecutive rows is an alignment (of vectors) of V
if the following conditions are satisfied:
- All vectors of V are used.
- Each row contains just one vector.
- The order of V is preserved.
- All vectors of maximal length are horizontally aligned each other.
- If a vector is not of maximal length then all its elements are aligned with elements of some subvector of a vector of maximal length.
Let L
denote a Latin square of order 2
or greater. We will say that L
is included in V
or that V
includes L
iff there exists an alignment of V
such that contains a subsquare that is equal to L
. For example, if V
equals [[1 2 3][2 3 1 2 1][3 1 2]]
then there are nine alignments of V
(brackets omitted):
1 2 3
1 2 3 1 2 3 1 2 3
A 2 3 1 2 1 2 3 1 2 1 2 3 1 2 1
3 1 2 3 1 2 3 1 2
1 2 3 1 2 3 1 2 3
B 2 3 1 2 1 2 3 1 2 1 2 3 1 2 1
3 1 2 3 1 2 3 1 2
1 2 3 1 2 3 1 2 3
C 2 3 1 2 1 2 3 1 2 1 2 3 1 2 1
3 1 2 3 1 2 3 1 2
Alignment A1
contains Latin square [[1 2 3][2 3 1][3 1 2]]
, alignments A2
, A3
, B1
, B2
, B3
contain no Latin squares, and alignments C1
, C2
, C3
contain [[2 1][1 2]]
. Thus in this case V
includes one Latin square of order 3
and one of order 2
which is included three times. Our aim is to implement a function which accepts a vector of vectors V
as an argument, and returns a map which keys and values are integers. Each key should be the order of a Latin square included in V
, and its value a count of different Latin squares of that order included in V
. If V
does not include any Latin squares an empty map should be returned. In the previous example the correct output of such a function is {3 1, 2 1}
and not {3 1, 2 3}
.
1Of course, we can consider sequences instead of vectors. 2Length of a vector is the number of elements in the vector.
(ns live.test
(:require [cljs.test :refer-macros [deftest is run-tests]]))
(defn squares [vecs]
(let [max-count (apply max (map count vecs))
positions #(range (inc (- max-count (count %))))
alignments (fn [v] (map #(concat
(repeat % nil)
v
(repeat (- max-count (count v) %) nil))
(positions v)))
cartesian-product (fn f [colls]
(if (empty? colls)
'(())
(for [x (first colls)
more (f (rest colls))]
(cons x more))))
all-planes (cartesian-product (map alignments vecs))
transpose #(apply map vector %)
get-slices-of (fn [n plane]
(map #(take n (drop % plane))
(range (inc (- (count plane) n)))))
get-squares-of (fn [n plane]
(map transpose (mapcat (comp (partial get-slices-of n) transpose)
(get-slices-of n plane))))
candidate-sizes (range 2 (inc (min (count vecs) max-count)))
all-candidates (mapcat (fn [n] (mapcat (partial get-squares-of n) all-planes))
candidate-sizes)
is-latin? (fn [square]
(and (every? (partial apply distinct?) square)
(every? (partial apply distinct?) (transpose square))
(= (count square) (count (set (flatten square))))
(not (contains? (set (flatten square)) nil))))]
(frequencies (map count (distinct (filter is-latin? all-candidates))))))
(deftest squares-test
(is (= (squares '[[A B C D]
[A C D B]
[B A D C]
[D C A B]])
{}))
(is (= (squares '[[A B C D E F]
[B C D E F A]
[C D E F A B]
[D E F A B C]
[E F A B C D]
[F A B C D E]])
{6 1}))
(is (= (squares '[[A B C D]
[B A D C]
[D C B A]
[C D A B]])
{4 1, 2 4}))
(is (= (squares '[[B D A C B]
[D A B C A]
[A B C A B]
[B C A B C]
[A D B C A]])
{3 3}))
(is (= (squares [ [2 4 6 3]
[3 4 6 2]
[6 2 4] ])
{}))
(is (= (squares [[1]
[1 2 1 2]
[2 1 2 1]
[1 2 1 2]
[] ])
{2 2}))
(is (= (squares [[3 1 2]
[1 2 3 1 3 4]
[2 3 1 3] ])
{3 1, 2 2}))
(is (= (squares [[8 6 7 3 2 5 1 4]
[6 8 3 7]
[7 3 8 6]
[3 7 6 8 1 4 5 2]
[1 8 5 2 4]
[8 1 2 4 5]])
{4 1, 3 1, 2 7})))
(run-tests)