Summarize and say sequence: Difference between revisions
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Revision as of 20:29, 25 August 2014
You are encouraged to solve this task according to the task description, using any language you may know.
There are several ways to generate a self-referential sequence. One very common one (the Look-and-say sequence) is to start with a positive integer, then generate the next term by concatenating enumerated groups of adjacent alike digits:
0, 10, 1110, 3110, 132110, 1113122110, 311311222110 ...
The terms generated grow in length geometrically and never converge.
Another way to generate a self-referential sequence is to summarize the previous term.
Count how many of each alike digit there is, then concatenate the sum and digit for each of the sorted enumerated digits. Note that the first five terms are the same as for the previous sequence.
0, 10, 1110, 3110, 132110, 13123110, 23124110 ... see The On-Line Encyclopedia of Integer Sequences
Sort the digits largest to smallest. Do not include counts of digits that do not appear in the previous term.
Depending on the seed value, series generated this way always either converge to a stable value or to a short cyclical pattern. (For our purposes, I'll use converge to mean an element matches a previously seen element.) The sequence shown, with a seed value of 0, converges to a stable value of 1433223110 after 11 iterations. The seed value that converges most quickly is 22. It goes stable after the first element. (The next element is 22, which has been seen before.)
Task:
Find all the positive integer seed values under 1000000, for the above convergent self-referential sequence, that takes the largest number of iterations before converging. Then print out the number of iterations and the sequence they return. Note that different permutations of the digits of the seed will yield the same sequence. For this task, assume leading zeros are not permitted.
Seed Value(s): 9009 9090 9900 Iterations: 21 Sequence: (same for all three seeds except for first element) 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
See also: Self-describing numbers and Look-and-say sequence
Ada
<lang Ada>with Ada.Text_IO; use Ada.Text_IO; with Ada.Containers.Vectors; procedure SelfRef is
subtype Seed is Natural range 0 .. 1_000_000; subtype Num is Natural range 0 .. 10; type NumList is array (0 .. 10) of Num; package IO is new Ada.Text_IO.Integer_IO (Natural); package DVect is new Ada.Containers.Vectors (Positive, NumList);
function Init (innum : Seed) return NumList is
list : NumList := (others => 0);
number : Seed := innum; d : Num;
begin
loop
d := Num (number mod 10);
list (d) := list (d) + 1;
number := number / 10; exit when number = 0;
end loop; return list;
end Init;
procedure Next (inoutlist : in out NumList) is
list : NumList := (others => 0);
begin
for i in list'Range loop
if inoutlist (i) /= 0 then
list (i) := list (i) + 1;
list (inoutlist (i)) := list (inoutlist (i)) + 1;
end if;
end loop; inoutlist := list;
end Next;
procedure Show (list : NumList) is begin
for i in reverse list'Range loop
if list (i) > 0 then
IO.Put (list (i), Width => 1); IO.Put (i, Width => 1);
end if;
end loop; New_Line;
end Show;
function Iterate (theseed : Seed; p : Boolean) return Natural is
list : NumList := Init (theseed);
vect : DVect.Vector;
begin
vect.Append (list);
loop
if p then Show (list); end if;
Next (list); exit when vect.Contains (list); vect.Append (list);
end loop;
return Integer (DVect.Length (vect)) + 1;
end Iterate;
mseed : Seed; len, maxlen : Natural := 0;
begin
for i in Seed'Range loop
len := Iterate (i, False);
if len > maxlen then mseed := i; maxlen := len; end if;
end loop;
IO.Put (maxlen, Width => 1); Put_Line (" Iterations:");
IO.Put (mseed, Width => 1); New_Line;
len := Iterate (mseed, True);
end SelfRef;</lang>
- Output:
21 Iterations: 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Aime
<lang aime>text next(text s, integer show) {
integer l; record v; data d; text u;
l = length(s);
while (l) {
integer e;
l -= 1;
e = 0;
u = insert("", 0, character(s, l));
r_g_integer(e, v, u);
r_f_integer(v, u, e + 1);
}
if (r_last(v, u)) {
do {
b_paste(d, -1, itoa(r_q_integer(v, u)));
b_paste(d, -1, u);
} while (r_less(v, u, u));
}
if (show) {
o_text(b_string(d));
o_newline();
}
return b_string(d);
}
integer depth(text s, integer i, record r) {
integer d;
d = 0;
r_g_integer(d, r, s);
if (d <= 0) {
i += 1;
if (d) {
d += i;
} else {
d = -i;
}
r_f_integer(r, s, d);
i = depth(next(s, 0), i, r);
d = r_q_integer(r, s);
if (d <= 0) {
d = i + 1;
r_r_integer(r, s, d);
}
}
return d;
}
integer main(void) {
integer d, e, i; record r; list l;
d = 0;
i = 1000000;
while (i) {
i -= 1;
e = depth(itoa(i), 0, r);
if (e == d) {
lb_p_integer(l, i);
} elif (d < e) {
d = e;
l_clear(l);
lb_p_integer(l, i);
}
}
o_text(cat3("longest length is ", itoa(d), "\n"));
while (l_length(l)) {
text s;
o_newline();
r_clear(r);
lf_e_integer(i, l);
o_integer(i);
o_newline();
e = d - 1;
s = itoa(i);
while (e) {
s = next(s, 1);
e -= 1;
}
}
return 0;
}</lang>
- Output:
longest length is 21 9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110 9090 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
AutoHotkey
Not optimized in the slightest. <lang AutoHotkey>
- The following directives and commands speed up execution
- NoEnv
SetBatchlines -1 ListLines Off Process, Priority,, high
iterations := 0, seed := "Seeds: "
Loop 1000000 If (newIterations := CountSubString(list := ListSequence(A_Index), "`n")) > iterations iterations := newiterations ,final := "`nIterations: " iterations+1 "`nSequence:`n`n" A_Index "`n" list ,seed := A_Index " " else if (newIterations = iterations) seed .= A_Index " " MsgBox % "Seeds: " . seed . final ListSequence(seed){ While !InStr("`n" . out, "`n" (d:=Describe(seed)) "`n") out .= d "`n", seed := d return out }
Describe(n){ Loop 10 If (t:=CountSubString(n, 10-A_Index)) out .= t . (10-A_Index) return out }
CountSubstring(fullstring, substring){
StringReplace, junk, fullstring, %substring%, , UseErrorLevel return errorlevel
} </lang> Output:
Seeds: 9009 9090 9900 Iterations: 21 Sequence: 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
BBC BASIC
<lang bbcbasic> *FLOAT64
DIM list$(30)
maxiter% = 0
maxseed% = 0
FOR seed% = 0 TO 999999
list$(0) = STR$(seed%)
iter% = 0
REPEAT
list$(iter%+1) = FNseq(list$(iter%))
IF VALlist$(iter%+1) <= VALlist$(iter%) THEN
FOR try% = iter% TO 0 STEP -1
IF list$(iter%+1) = list$(try%) EXIT REPEAT
NEXT
ENDIF
iter% += 1
UNTIL FALSE
IF iter% >= maxiter% THEN
IF iter% > maxiter% CLS
maxiter% = iter%
maxseed% = seed%
PRINT "Seed " ;seed% " has "; iter% " iterations"
ENDIF
NEXT
PRINT '"Sequence:"
number$ = STR$(maxseed%)
FOR i% = 1 TO maxiter%
PRINT number$
number$ = FNseq(number$)
NEXT
END
DEF FNseq(n$)
LOCAL I%, o$, d%()
DIM d%(9)
FOR I% = 1 TO LEN(n$)
d%(ASCMID$(n$,I%)-&30) += 1
NEXT
FOR I% = 9 TO 0 STEP -1
IF d%(I%) o$ += STR$d%(I%) + STR$I%
NEXT
= o$</lang>
Output:
Seed 9009 has 21 iterations Seed 9090 has 21 iterations Seed 9900 has 21 iterations Sequence: 9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Bracmat
<lang bracmat>( ( self-referential
= seq N next
. ( next
= R S d f
. 0:?S
& whl
' (@(!arg:%@?d ?arg)&(.!d)+!S:?S)
& :?R
& whl
' ( !S:#?f*(.?d)+?S
& !f !d !R:?R
)
& str$!R
)
& 1:?N
& !arg:?seq
& whl
' ( next$!arg:?arg
& ~(!seq:? !arg ?)
& !arg !seq:?seq
& 1+!N:?N
)
& (!seq.!N)
)
& ( Perm
= permutations S p
. :?permutations
& ( perm
= prefix List original A Z p
. !arg:(?prefix.)
& str$!prefix:?p
& (!S:?+(.!p)+?|(.!p)+!S:?S)
| !arg:(0 ?.?)&
| !arg:(?prefix.?List:?original)
& whl
' ( @(!List:%?A ?Z)
& perm$(!prefix !A.!Z)
& str$(!Z !A):~!original:?List
)
)
& 0:?S
& perm$(.!arg)
& :?permutations
& whl
' ( !S:?*(.?p)+?S
& !p !permutations:?permutations
)
& !permutations
)
& -1:?i:?max & :?seqs & whl
' ( 1+!i:<1000000:?i
& ( @(!i:? %@?a >%@!a ?)
| self-referential$!i
: ( ?seq
. ( >!max:?max&:?seqs
| !max
)
& ( "Seed Value(s):" Perm$!i
. "Sequence: (same for all three seeds except for first element)
"
!seq
)
!seqs
: ?seqs
)
|
)
)
& out$("Iterations:" !max !seqs) );</lang> Output:
Iterations:
21
( Seed Value(s): 9900 9090 9009
. Sequence: (same for all three seeds except for first element)
19182716152413228110
19281716151413427110
19281716151423228110
29181716151413328110
19182716151423129110
19181716151413327110
191726151423128110
191716151413326110
1916251423127110
1916151413325110
19251413226110
19151423125110
191433125110
191413323110
1923224110
1923123110
19323110
19222110
192210
2920
9900
)
C
<lang c>#include <stdio.h>
- include <stdlib.h>
- include <string.h>
typedef struct rec_t rec_t; struct rec_t { int depth; rec_t * p[10]; };
rec_t root = {0, {0}};
- define USE_POOL_ALLOC
- ifdef USE_POOL_ALLOC /* not all that big a deal */
rec_t *tail = 0, *head = 0;
- define POOL_SIZE (1 << 20)
inline rec_t *new_rec() { if (head == tail) { head = calloc(sizeof(rec_t), POOL_SIZE); tail = head + POOL_SIZE; } return head++; }
- else
- define new_rec() calloc(sizeof(rec_t), 1)
- endif
rec_t *find_rec(char *s) { int i; rec_t *r = &root; while (*s) { i = *s++ - '0'; if (!r->p[i]) r->p[i] = new_rec(); r = r->p[i]; } return r; }
/* speed up number to string conversion */ char number[100][4]; void init() { int i; for (i = 0; i < 100; i++) sprintf(number[i], "%d", i); }
void count(char *buf) { int i, c[10] = {0}; char *s;
for (s = buf; *s; c[*s++ - '0']++);
for (i = 9; i >= 0; i--) { if (!c[i]) continue; s = number[c[i]];
*buf++ = s[0]; if ((*buf = s[1])) buf++;
*buf++ = i + '0'; }
*buf = '\0'; }
int depth(char *in, int d) { rec_t *r = find_rec(in);
if (r->depth > 0) return r->depth;
d++; if (!r->depth) r->depth = -d; else r->depth += d;
count(in); d = depth(in, d);
if (r->depth <= 0) r->depth = d + 1; return r->depth; }
int main(void) { char a[100]; int i, d, best_len = 0, n_best = 0; int best_ints[32]; rec_t *r;
init();
for (i = 0; i < 1000000; i++) { sprintf(a, "%d", i); d = depth(a, 0);
if (d < best_len) continue; if (d > best_len) { n_best = 0; best_len = d; } if (d == best_len) best_ints[n_best++] = i; }
printf("longest length: %d\n", best_len); for (i = 0; i < n_best; i++) { printf("%d\n", best_ints[i]); sprintf(a, "%d", best_ints[i]); for (d = 0; d <= best_len; d++) { r = find_rec(a); printf("%3d: %s\n", r->depth, a); count(a); } putchar('\n'); }
return 0; }</lang>
- Output:
longest length: 21 9009 21: 9009 20: 2920 19: 192210 18: 19222110 17: 19323110 16: 1923123110 15: 1923224110 14: 191413323110 13: 191433125110 12: 19151423125110 11: 19251413226110 10: 1916151413325110 9: 1916251423127110 8: 191716151413326110 7: 191726151423128110 6: 19181716151413327110 5: 19182716151423129110 4: 29181716151413328110 3: 19281716151423228110 2: 19281716151413427110 2: 19182716152413228110 2: 19281716151413427110 9090 21: 9090 20: 2920 19: 192210 18: 19222110 17: 19323110 16: 1923123110 15: 1923224110 14: 191413323110 13: 191433125110 12: 19151423125110 11: 19251413226110 10: 1916151413325110 9: 1916251423127110 8: 191716151413326110 7: 191726151423128110 6: 19181716151413327110 5: 19182716151423129110 4: 29181716151413328110 3: 19281716151423228110 2: 19281716151413427110 2: 19182716152413228110 2: 19281716151413427110 9900 21: 9900 20: 2920 19: 192210 18: 19222110 17: 19323110 16: 1923123110 15: 1923224110 14: 191413323110 13: 191433125110 12: 19151423125110 11: 19251413226110 10: 1916151413325110 9: 1916251423127110 8: 191716151413326110 7: 191726151423128110 6: 19181716151413327110 5: 19182716151423129110 4: 29181716151413328110 3: 19281716151423228110 2: 19281716151413427110 2: 19182716152413228110 2: 19281716151413427110
CoffeeScript
This takes less than a second to run, even though the only real optimization is to exclude integers that don't have their digits descending.
<lang coffeescript> sequence = (n) ->
cnts = {}
for c in n.toString()
d = parseInt(c)
incr cnts, d
seq = []
while true
s =
for i in [9..0]
s += "#{cnts[i]}#{i}" if cnts[i]
if s in seq
break
seq.push s
new_cnts = {}
for digit, cnt of cnts
incr new_cnts, cnt
incr new_cnts, digit
cnts = new_cnts
seq
incr = (h, k) ->
h[k] ?= 0 h[k] += 1
descending = (n) ->
return true if n < 10 tens = n / 10 return false if n % 10 > tens % 10 descending(tens)
max_len = 0 for i in [1..1000000]
if descending(i)
seq = sequence(i)
if seq.length > max_len
max_len = seq.length
max_seq = seq
max_i = i
console.log max_i, max_seq
</lang>
9900 ["2920", "192210", "19222110", "19323110", "1923123110", "1923224110", "191413323110", "191433125110", "19151423125110", "19251413226110", "1916151413325110", "1916251423127110", "1 91716151413326110", "191726151423128110", "19181716151413327110", "19182716151423129110", "29181716151413328110", "19281716151423228110", "19281716151413427110", "19182716152413228110"]
Clojure
<lang clojure>(defmacro reduce-with
"simplifies form of reduce calls" [bindings & body] (assert (and (vector? bindings) (= 4 (count bindings)))) (let [[acc init, item sequence] bindings] `(reduce (fn [~acc ~item] ~@body) ~init ~sequence)))
(defn digits
"maps e.g. 2345 => [2 3 4 5]" [n] (->> n str seq (map #(- (int %) (int \0))) vec))
(defn dcount
"handles case (probably impossible in this range) of digit count > 9" [ds] (let [c (count ds)] (if (< c 10) c (digits c))))
(defn summarize-prev
"produces the summary sequence for a digit sequence" [ds] (->> ds (sort >) (partition-by identity) (map (juxt dcount first)) flatten vec)
(defn convergent-sequence
"iterates summarize-prev until a duplicate is found; returns summary step sequence"
[ds]
(reduce-with [cur-seq [], ds (iterate summarize-prev ds)]
(if (some #{ds} cur-seq)
(reduced cur-seq)
(conj cur-seq ds))))
(defn candidate-seq
"only try an already sorted digit sequence, so we only try equivalent seeds once; e.g. 23 => []; 32 => (convergent-sequence [3 2])" [n] (let [ds (digits n)] (if (apply >= ds) (convergent-sequence ds) [])))
(defn find-longest
"the meat of the task; returns summary step sequence(s) of max length within the range"
[limit]
(reduce-with [max-seqs [[]], new-seq (map candidate-seq (range 1 limit))]
(let [cmp (compare (-> max-seqs first count) (count new-seq))]
(cond
(pos? cmp) max-seqs
(neg? cmp) [new-seq]
(zero? cmp) (conj max-seqs new-seq)))))
(def results (find-longest 1000000))</lang>
The above code saves a lot of time by only calculating summary step sequences for one of a set of equivalent seeds: e.g. it only calculates for 4321, not for all 24 digit permutations 1234, 1243, 1324,.... So for output this creates a some extra work to reconstitute the permuted digit sequences for the result seed(s). Clojure doesn't have a standard permutations function (though there's one in the contributed library clojure.math.combinations), but the one here will serve.
<lang clojure>(defn perms
"produce all the permutations of a finite sequence"
[ds]
(if (empty? ds)
[]
(let [rotseq (for [n (range (count ds))] (concat (drop n ds) (take n ds)))]
(reduce-with [rs [], d & ds rotseq]
(concat rs (if (empty? ds) d (map #(cons d %) (perms ds))))))))
(doseq [result results]
(let [seed (first result)
seeds (->> seed perms (map vec) set sort (remove (comp zero? first)))]
(apply println "Seed value(s):" (map #(apply str %) seeds)))))
(println)
(println "Iterations:" (count result))
(println)
(println "Sequence:")
(doseq [ds result]
(println (apply str ds))))</lang>
Common Lisp
Doesn't do cache, and takes forever. <lang lisp>(defun count-and-say (str)
(let* ((s (sort (map 'list #'identity str) #'char>))
(out (list (first s) 0)))
(loop for x in s do
(if (char= x (first out)) (incf (second out)) (setf out (nconc (list x 1) out))))
(format nil "~{~a~^~}" (nreverse out))))
(defun ref-seq-len (n &optional doprint)
(let ((s (format nil "~d" n)) hist) (loop (push s hist)
(if doprint (format t "~a~%" s)) (setf s (count-and-say s)) (loop for item in hist for i from 0 to 2 do (if (string= s item) (return-from ref-seq-len (length hist)))))))
(defun find-longest (top)
(let (nums (len 0))
(dotimes (x top)
(let ((l (ref-seq-len x)))
(if (> l len) (setf len l nums nil))
(if (= l len) (push x nums))))
(list nums len)))
(let ((r (find-longest 1000000)))
(format t "Longest: ~a~%" r) (ref-seq-len (first (first r)) t))</lang>output<lang>Longest: ((9900 9090 9009) 21)
9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110</lang>
D
Slow High-level Version
<lang d>import std.stdio, std.algorithm, std.conv;
string[] selfReferentialSeq(string n, string[] seen=[]) nothrow {
__gshared static string[][string] cache;
if (n in cache)
return cache[n];
if (seen.canFind(n))
return [];
int[10] digit_count;
foreach (immutable d; n)
digit_count[d - '0']++;
string term;
foreach_reverse (immutable d; 0 .. 10)
if (digit_count[d] > 0)
term ~= text(digit_count[d], d);
return cache[n] = [n] ~ selfReferentialSeq(term, [n] ~ seen);
}
void main() {
enum int limit = 1_000_000; int max_len; int[] max_vals;
foreach (immutable n; 1 .. limit) {
const seq = n.text().selfReferentialSeq();
if (seq.length > max_len) {
max_len = seq.length;
max_vals = [n];
} else if (seq.length == max_len)
max_vals ~= n;
}
writeln("values: ", max_vals);
writeln("iterations: ", max_len);
writeln("sequence:");
foreach (const idx, const val; max_vals[0].text.selfReferentialSeq)
writefln("%2d %s", idx + 1, val);
}</lang>
- Output:
values: [9009, 9090, 9900] iterations: 21 sequence: 1 9009 2 2920 3 192210 4 19222110 5 19323110 6 1923123110 7 1923224110 8 191413323110 9 191433125110 10 19151423125110 11 19251413226110 12 1916151413325110 13 1916251423127110 14 191716151413326110 15 191726151423128110 16 19181716151413327110 17 19182716151423129110 18 29181716151413328110 19 19281716151423228110 20 19281716151413427110 21 19182716152413228110
More Efficient Version
<lang d>import std.range, std.algorithm;
struct Permutations(bool doCopy=true, T) {
T[] items;
int r;
bool stopped;
int[] indices, cycles;
static if (!doCopy)
T[] result;
this(T)(T[] items, int r=-1) pure nothrow @safe {
this.items = items;
immutable int n = items.length;
if (r < 0)
r = n;
this.r = r;
immutable n_minus_r = n - r;
if (n_minus_r < 0) {
this.stopped = true;
} else {
this.stopped = false;
this.indices = n.iota.array;
//this.cycles = iota(n, n_minus_r, -1).array; // Not nothrow.
this.cycles = iota(n_minus_r + 1, n + 1).retro.array;
}
static if (!doCopy)
result = new T[r];
}
@property bool empty() const pure nothrow @safe @nogc {
return this.stopped;
}
static if (doCopy) {
@property T[] front() const pure nothrow @safe {
assert(!this.stopped);
auto result = new T[r];
foreach (immutable i, ref re; result)
re = items[indices[i]];
return result;
}
} else {
@property T[] front() pure nothrow @safe @nogc {
assert(!this.stopped);
foreach (immutable i, ref re; this.result)
re = items[indices[i]];
return this.result;
}
}
void popFront() pure nothrow /*@safe*/ @nogc {
assert(!this.stopped);
int i = r - 1;
while (i >= 0) {
immutable int j = cycles[i] - 1;
if (j > 0) {
cycles[i] = j;
indices[i].swap(indices[$ - j]);
return;
}
cycles[i] = indices.length - i;
immutable int n1 = indices.length - 1;
assert(n1 >= 0);
immutable int num = indices[i];
// copy isn't @safe.
indices[i + 1 .. n1 + 1].copy(indices[i .. n1]);
indices[n1] = num;
i--;
}
this.stopped = true; }
}
Permutations!(doCopy, T) permutations(bool doCopy=true, T)
(T[] items, int r=-1)
pure nothrow @safe {
return Permutations!(doCopy, T)(items, r);
}
// ---------------------------------
import std.stdio, std.typecons, std.conv, std.algorithm, std.array,
std.exception, std.string;
enum maxIters = 1_000_000;
string A036058(in string ns) pure {
//return ns.representation.group.map!(t => t[1].text ~ char(t[0])).join; return ns.representation.dup.group.map!(t => t[1].text ~ char(t[0])).join;
}
int A036058_length(bool doPrint=false)(string numberString="0") {
int iterations = 1; int queueIndex; string[3] lastThree;
while (true) {
static if (doPrint)
writefln(" %2d %s", iterations, numberString);
numberString = numberString
.dup
.representation
.sort()
.release
.assumeUTF;
if (lastThree[].canFind(numberString))
break;
assert(iterations < maxIters);
lastThree[queueIndex] = numberString;
numberString = numberString.A036058;
iterations++;
queueIndex++;
queueIndex %= 3;
}
return iterations;
}
Tuple!(int,int[]) max_A036058_length(R)(R startRange = 11.iota) {
bool[string] alreadyDone; auto max_len = tuple(-1, (int[]).init);
foreach (n; startRange) {
immutable sns = n
.to!(char[])
.representation
.sort()
.release
.assumeUTF;
if (sns !in alreadyDone) {
alreadyDone[sns] = true;
const size = sns.A036058_length;
if (size > max_len[0])
max_len = tuple(size, [n]);
else if (size == max_len[0])
max_len[1] ~= n;
}
}
return max_len;
}
void main() {
//const (lenMax, starts) = maxIters.iota.max_A036058_length; const lenMax_starts = maxIters.iota.max_A036058_length; immutable lenMax = lenMax_starts[0]; const starts = lenMax_starts[1];
// Expand:
int[] allStarts;
foreach (immutable n; starts) {
bool[string] set;
foreach (const k; permutations!false(n.to!(char[]), 4))
if (k[0] != '0')
set[k.idup] = true;
//allStarts ~= set.byKey.to!(int[]);
allStarts ~= set.byKey.map!(to!int).array;
}
allStarts = allStarts.sort().filter!(x => x < maxIters).array;
writefln("The longest length, followed by the number(s) with the
longest sequence length for starting sequence numbers below maxIters are: Iterations = %d and sequence-starts = %s.", lenMax, allStarts);
writeln("Note that only the first of any sequences with the same
digits is printed below. (The others will differ only in their first term).");
foreach (immutable n; starts) {
writeln;
A036058_length!true(n.text);
}
}</lang> The output is similar to the Python entry.
Faster Low-level Version
From the C version, with a memory pool for a faster tree allocation. <lang d>import core.stdc.stdio, core.stdc.stdlib;
struct MemoryPool(T, int MAX_BLOCK_BYTES = 1 << 17) {
static assert(!is(T == class),
"MemoryPool is designed for native data.");
static assert(MAX_BLOCK_BYTES >= 1,
"MemoryPool: MAX_BLOCK_BYTES must be >= 1 bytes.");
static assert(MAX_BLOCK_BYTES >= T.sizeof,
"MemoryPool: MAX_BLOCK_BYTES must be" ~
" bigger than a T.");
static if (T.sizeof * 5 > MAX_BLOCK_BYTES)
pragma(msg, "MemoryPool: Block is very small.");
alias Block = T[MAX_BLOCK_BYTES / T.sizeof]; static __gshared Block*[] blocks; static __gshared T* nextFree, lastFree;
static T* newItem() nothrow {
if (nextFree >= lastFree) {
blocks ~= cast(Block*)calloc(1, Block.sizeof);
if (blocks[$ - 1] == null)
exit(1);
nextFree = blocks[$ - 1].ptr;
lastFree = nextFree + Block.length;
}
return nextFree++; }
// static void freeAll() nothrow { // foreach (blockPtr; blocks) // free(blockPtr); // blocks.length = 0; // nextFree = null; // lastFree = null; // } }
struct Rec { // Tree node
int length; Rec*[10] p;
}
__gshared int nNodes; __gshared Rec* rec_root; __gshared MemoryPool!Rec recPool;
Rec* findRec(char* s, Rec* root) nothrow {
int c; Rec* next;
while (true) {
c = *s;
s++;
if (!c)
break;
c -= '0';
next = root.p[c];
if (!next) {
nNodes++;
next = recPool.newItem;
root.p[c] = next;
}
root = next;
}
return root;
}
void nextNum(char* s) nothrow @nogc {
int[10] cnt;
for (int i = 0; s[i]; i++)
cnt[s[i] - '0']++;
foreach_reverse (i; 0 .. 10) {
if (!cnt[i])
continue;
s += sprintf(s, "%d%c", cnt[i], i + '0');
}
}
int getLen(char* s, int depth) nothrow {
auto r = findRec(s, rec_root);
if (r.length > 0)
return r.length;
depth++;
if (!r.length)
r.length = -depth;
else
r.length += depth;
nextNum(s); depth = 1 + getLen(s, depth);
if (r.length <= 0)
r.length = depth;
return r.length;
}
void main() nothrow {
enum MAXN = 1_000_000;
int[100] longest; int nLongest, ml; char[32] buf; rec_root = recPool.newItem();
foreach (immutable i; 0 .. MAXN) {
sprintf(buf.ptr, "%d", i);
int l = getLen(buf.ptr, 0);
if (l < ml)
continue;
if (l > ml) {
nLongest = 0;
ml = l;
}
longest[nLongest] = i;
nLongest++;
}
printf("seq leng: %d\n\n", ml);
foreach (immutable i; 0 .. nLongest) {
sprintf(buf.ptr, "%d", longest[i]);
// print len+1 so we know repeating starts from when
foreach (immutable l; 0 .. ml + 1) {
printf("%2d: %s\n", getLen(buf.ptr, 0), buf.ptr);
nextNum(buf.ptr);
}
printf("\n");
}
printf("Allocated %d Rec tree nodes.\n", nNodes);
//recPool.freeAll;
}</lang> Faster than the C entry, run-time is about 1.16 seconds using the dmd compiler (about 1.5 without memory pool). Same output as the C entry.
Go
Brute force <lang go>package main
import (
"fmt" "strconv"
)
func main() {
var maxLen int
var seqMaxLen [][]string
for n := 1; n < 1e6; n++ {
switch s := seq(n); {
case len(s) == maxLen:
seqMaxLen = append(seqMaxLen, s)
case len(s) > maxLen:
maxLen = len(s)
seqMaxLen = [][]string{s}
}
}
fmt.Println("Max sequence length:", maxLen)
fmt.Println("Sequences:", len(seqMaxLen))
for _, seq := range seqMaxLen {
fmt.Println("Sequence:")
for _, t := range seq {
fmt.Println(t)
}
}
}
func seq(n int) []string {
s := strconv.Itoa(n)
ss := []string{s}
for {
dSeq := sortD(s)
d := dSeq[0]
nd := 1
s = ""
for i := 1; ; i++ {
if i == len(dSeq) {
s = fmt.Sprintf("%s%d%c", s, nd, d)
break
}
if dSeq[i] == d {
nd++
} else {
s = fmt.Sprintf("%s%d%c", s, nd, d)
d = dSeq[i]
nd = 1
}
}
for _, s0 := range ss {
if s == s0 {
return ss
}
}
ss = append(ss, s)
}
panic("unreachable")
}
func sortD(s string) []rune {
r := make([]rune, len(s))
for i, d := range s {
j := 0
for ; j < i; j++ {
if d > r[j] {
copy(r[j+1:], r[j:i])
break
}
}
r[j] = d
}
return r
}</lang> Output:
Max sequence length: 21 Sequences: 3 Sequence: 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110 Sequence: 9090 2920 ... 19182716152413228110 Sequence: 9900 2920 ... 19182716152413228110
Groovy
<lang groovy>Number.metaClass.getSelfReferentialSequence = {
def number = delegate as String; def sequence = []
while (!sequence.contains(number)) {
sequence << number
def encoded = new StringBuilder()
((number as List).sort().join().reverse() =~ /(([0-9])\2*)/).each { matcher, text, digit ->
encoded.append(text.size()).append(digit)
}
number = encoded.toString()
}
sequence
}</lang> Test <lang groovy>9009.selfReferentialSequence.each { println it }</lang> Output:
9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Haskell
Brute force and quite slow: <lang haskell>import Data.Set (Set, member, insert, empty) import Data.List (group, sort)
step :: String -> String step = concatMap (\list -> show (length list) ++ [head list]) . group . sort
findCycle :: (Ord a) => [a] -> [a] findCycle = aux empty where aux set (x : xs) | x `member` set = [] | otherwise = x : aux (insert x set) xs
select :: a -> a select = snd . foldl (\(len, acc) xs -> case len `compare` length xs of LT -> (length xs, [xs]) EQ -> (len, xs : acc) GT -> (len, acc)) (0, [])
main :: IO () main = mapM_ (mapM_ print) $ -- Print out all the numbers select $ -- find the longest ones map findCycle $ -- run the sequences until there is a repeat map (iterate step) $ -- produce the sequence map show -- turn the numbers into digits [1..1000000] -- The input seeds </lang>
Icon and Unicon
<lang Icon>link printf
procedure main() every L := !longestselfrefseq(1000000) do
every printf(" %i : %i\n",i := 1 to *L,L[i])
end
procedure longestselfrefseq(N) #: find longest sequences from 1 to N
mlen := 0 every L := selfrefseq(n := 1 to N) do {
if mlen <:= *L then
ML := [L]
else if mlen = *L then
put(ML,L)
}
return ML end
procedure selfrefseq(n) #: return list of sequence oeis:A036058 for seed n S := set() L := [] every p := seq(1) do
if member(S,n) then return L # ends at a repeat
else {
insert(S,n)
put(L,n)
n := nextselfrefseq(n)
}
end
procedure nextselfrefseq(n) #: return next element of sequence oeis:A036058 every (Counts := table(0))[integer(!n)] +:= 1 # count digits every (n := "") ||:= (0 < Counts[i := 9 to 0 by -1]) || i # assemble counts return integer(n) end</lang>
printf.icn provides printf, sprintf, fprintf, etc.
Sample of Output:
1 : 9009 2 : 2920 3 : 192210 4 : 19222110 5 : 19323110 6 : 1923123110 7 : 1923224110 8 : 191413323110 9 : 191433125110 10 : 19151423125110 11 : 19251413226110 12 : 1916151413325110 13 : 1916251423127110 14 : 191716151413326110 15 : 191726151423128110 16 : 19181716151413327110 17 : 19182716151423129110 18 : 29181716151413328110 19 : 19281716151423228110 20 : 19281716151413427110 21 : 19182716152413228110 1 : 9090 2 : 2920 ... (manually removed, same as above) 21 : 19182716152413228110 1 : 9900 2 : 2920 ... (manually removed, same as above) 21 : 19182716152413228110
The following (admittedly overdense) version produces output matching the problem statement and avoids repeating sequences that arise from 'similar' seeds. It does not assume that only one equivalence class of similar seeds exists at the maximum sequence length. As with the first example, it works in both Icon and Unicon. <lang Unicon> link strings # to get csort()
procedure main(A)
limit := A[1] | 1000000 # Allow alternate limit
mSq := 0
# May have multiple 'unique' sequence sets (unrelated seeds) so use table
every s := [n := 1 to limit, sequence(n)] do {
if mSq <:= *s[2] then mT := table() # new max, start over
if mSq == *s[2] then insert((/mT[n := csort(n)] := set()) | mT[n],s)
}
dumpSequences(mT)
end
procedure sequence(n) # produce sequence of SDS with seed n
every (repeats := [], iter := seq(), put(repeats, n)) do
if (n := nElem(n)) == !repeats then return repeats # Converged
end
procedure nElem(n) # given n, produce its self-description
every (n1 := "", c := !cset(n)) do
(every (d := 0) +:= (upto(c, n),1)) | (n1 := d||c||n1)
return n1
end
procedure dumpSequences(seqTab) # Show each 'unique' sequence in table
every writes("Seeds:" | (!!seqTab)[1], " ")
write("\n\nIterations: ",*(!!seqTab)[2])
every s := !seqTab do (write() & every write(!(!s\1)[2]))
end </lang> Output with limit = 1000000:
Seeds: 9009 9090 9900 Iterations: 21 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
J
Given: <lang j>require'stats' digits=: 10&#.inv"0 :. ([: ".@; (<'x'),~":&.>) summar=: (#/.~ ,@,. ~.)@\:~&.digits sequen=: ~.@(, summar@{:)^:_ values=: ~. \:~&.digits i.1e6 allvar=: [:(#~(=&<.&(10&^.) >./))@~.({~ perm@#)&.(digits"1) </lang>
The values with the longest sequence are:
<lang j> ;allvar&.> values #~ (= >./) #@sequen"0 values 9900 9090 9009
# sequen 9900
21
,.sequen 9900
9900
2920
192210
19222110
19323110
1923123110
1923224110
191413323110
191433125110
19151423125110
19251413226110
1916151413325110
1916251423127110
191716151413326110
191726151423128110
19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110</lang>
Notes:
digits is an invertible function that maps from a number to a sequence of digits and back where the inverse transform converts numbers to strings, concatenates them, and then back to a number.
<lang j> digits 321 3 2 1
digits inv 34 5
345</lang>
summar computes the summary successor.
<lang j> summar 0 1 2 10 11 12</lang>
sequen computes the complete non-repeating sequence of summary successors
The computation for values could have been made much more efficient. Instead, though, all one million integers have their digits sorted in decreasing order, and then the unique set of them is found.
Finally, allvar finds all variations of a number which would have the same summary sequence based on the permutations of that number's digits.
Java
<lang java>import java.util.*; import java.util.stream.IntStream;
public class SelfReferentialSequence {
static int largest = Integer.MIN_VALUE; static List<int[]> seeds = new ArrayList<>();
public static void main(String[] args) {
IntStream.range(0, 1000_000)
.parallel()
.map(n -> summarize(n, false))
.count();
System.out.println("Seeds:");
for (int[] e : seeds)
System.out.println(Arrays.toString(e));
System.out.println("\nSequence:");
summarize(seeds.get(0)[0], true);
}
static int summarize(int seed, boolean display) {
Set<String> seen = new HashSet<>();
String n = String.valueOf(seed);
StringBuilder sb = new StringBuilder();
int[] freq = new int[10];
while (!seen.contains(n)) {
seen.add(n);
final int len = n.length();
for (int i = 0; i < len; i++)
freq[Character.digit(n.charAt(i), 10)]++;
sb.setLength(0);
for (int i = 9; i >= 0; i--) {
if (freq[i] != 0) {
sb.append(freq[i]).append(i);
freq[i] = 0;
}
}
if (display)
System.out.println(n);
n = sb.toString();
}
synchronized (SelfReferentialSequence.class) {
int size = seen.size();
if (size >= largest) {
if (size > largest) {
largest = size;
seeds.clear();
}
seeds.add(new int[]{seed, size});
}
}
return seed; }
}</lang>
Seeds: [9009, 21] [9090, 21] [9900, 21] Sequence: 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Mathematica
<lang Mathematica>selfRefSequence[ x_ ] := FromDigits@Flatten@Reverse@Cases[Transpose@{RotateRight[DigitCount@x,1], Range[0,9]},Except[{0,_}]] DisplaySequence[ x_ ] := NestWhileList[selfRefSequence,x,UnsameQ[##]&,4] data= {#, Length@DisplaySequence[#]}&/@Range[1000000]; Print["Values: ", Select[data ,#2 == Max@data;;,2&]1,;;] Print["Iterations: ", Length@DisplaySequence[#]&/@Select[data ,#2 == Max@data;;,2&]1,;;] DisplaySequence@Select[data, #2 == Max@data;;,2&]1//Column</lang>
Values: {9009, 9090, 9900}
Iterations: 21
9009
2920
192210
19222110
19323110
1923123110
1923224110
191413323110
191433125110
19151423125110
19251413226110
1916151413325110
1916251423127110
191716151413326110
191726151423128110
19181716151413327110
19182716151423129110
29181716151413328110
19281716151423228110
19281716151413427110
19182716152413228110
19281716151413427110
Perl
<lang perl>sub next_num { my @a; $a[$_]++ for split , shift; join(, map(exists $a[$_] ? $a[$_].$_ : "", reverse 0 .. 9)); }
my %cache; sub seq { my $a = shift; my (%seen, @s); until ($seen{$a}) { $seen{$a} = 1; push(@s, $a); last if !wantarray && $cache{$a}; $a = next_num($a); } return (@s) if wantarray;
my $l = $cache{$a}; if ($l) { $cache{$s[$_]} = $#s - $_ + $l for (0 .. $#s); } else { $l++ while ($s[-$l] != $a); $cache{pop @s} = $l for (1 .. $l); $cache{pop @s} = ++$l while @s; } $cache{$s[0]} }
my (@mlist, $mlen); for (1 .. 100_000) { # 1_000_000 takes very, very long my $l = seq($_); next if $l < $mlen;
if ($l > $mlen) { $mlen = $l; @mlist = (); } push @mlist, $_; }
print "longest ($mlen): @mlist\n"; print join("\n", seq($_)), "\n\n" for @mlist;</lang> --Bbsingapore 10:49, 3 February 2012 (UTC)
Perl 6
<lang perl6>my @list; my $longest = 0; my %seen;
for 1 .. 1000000 -> $m {
next unless $m ~~ /0/; # seed must have a zero
my $j = join , $m.comb.sort;
next if %seen.exists($j); # already tested a permutation
%seen{$j} = ;
my @seq := converging($m);
my %elems;
my $count;
for @seq[] -> $value { last if ++%elems{$value} == 2; $count++; };
if $longest == $count {
@list.push($m);
say "\b" x 20, "$count, $m"; # monitor progress
}
elsif $longest < $count {
$longest = $count;
@list = $m;
say "\b" x 20, "$count, $m"; # monitor progress
}
};
for @list -> $m {
say "Seed Value(s): ", ~permutations($m).uniq.grep( { .substr(0,1) != 0 } );
my @seq := converging($m);
my %elems;
my $count;
for @seq[] -> $value { last if ++%elems{$value} == 2; $count++; };
say "\nIterations: ", $count;
say "\nSequence: (Only one shown per permutation group.)";
.say for @seq[^$count], "\n";
}
sub converging ($seed) { return $seed, -> $l { join , map { $_.value.elems~$_.key }, $l.comb.classify({$^b}).sort: {-$^c.key} } ... * }
sub permutations ($string, $sofar? = ) {
return $sofar unless $string.chars;
my @perms;
for ^$string.chars -> $idx {
my $this = $string.substr(0,$idx)~$string.substr($idx+1);
my $char = substr($string, $idx,1);
@perms.push( permutations( $this, join , $sofar, $char ) ) ;
}
return @perms;
}</lang>
Output:
Seed Value(s): 9009 9090 9900 Iterations: 21 Sequence: (Only one shown per permutation group.) 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
PicoLisp
Using 'las' from Look-and-say sequence#PicoLisp: <lang PicoLisp>(de selfRefSequence (Seed)
(let L (mapcar format (chop Seed))
(make
(for (Cache NIL (not (idx 'Cache L T)))
(setq L
(las (flip (sort (copy (link L))))) ) ) ) ) )
(let Res NIL
(for Seed 1000000
(let N (length (selfRefSequence Seed))
(cond
((> N (car Res)) (setq Res (list N Seed)))
((= N (car Res)) (queue 'Res Seed)) ) ) )
(println 'Values: (cdr Res))
(println 'Iterations: (car Res))
(mapc prinl (selfRefSequence (cadr Res))) )</lang>
Output:
Values: (9009 9090 9900) Iterations: 21 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Python
The number generation function follows that of Look-and-say with a sort. only the first of any set of numbers with the same digits has the length of its sequence calculated in function max_A036058_length, although no timings were taken to check if the optimisation was of value.
<lang python>from itertools import groupby, permutations
def A036058(number):
return .join( str(len(list(g))) + k
for k,g in groupby(sorted(str(number), reverse=True)) )
def A036058_length(numberstring='0', printit=False):
iterations, last_three, queue_index = 1, ([None] * 3), 0
def A036058(number):
# rely on external reverse-sort of digits of number
return .join( str(len(list(g))) + k
for k,g in groupby(number) )
while True:
if printit:
print(" %2i %s" % (iterations, numberstring))
numberstring = .join(sorted(numberstring, reverse=True))
if numberstring in last_three:
break
assert iterations < 1000000
last_three[queue_index], numberstring = numberstring, A036058(numberstring)
iterations += 1
queue_index +=1
queue_index %=3
return iterations
def max_A036058_length( start_range=range(11) ):
already_done = set()
max_len = (-1, [])
for n in start_range:
sn = str(n)
sns = tuple(sorted(sn, reverse=True))
if sns not in already_done:
already_done.add(sns)
size = A036058_length(sns)
if size > max_len[0]:
max_len = (size, [n])
elif size == max_len[0]:
max_len[1].append(n)
return max_len
lenmax, starts = max_A036058_length( range(1000000) )
- Expand
allstarts = [] for n in starts:
allstarts += [int(.join(x))
for x in set(k
for k in permutations(str(n), 4)
if k[0] != '0')]
allstarts = [x for x in sorted(allstarts) if x < 1000000]
print ( \ The longest length, followed by the number(s) with the longest sequence length for starting sequence numbers below 1000000 are:
Iterations = %i and sequence-starts = %s. % (lenmax, allstarts) )
print ( Note that only the first of any sequences with the same digits is printed below. (The others will differ only in their first term) )
for n in starts:
print() A036058_length(str(n), printit=True)</lang>
- Output
The longest length, followed by the number(s) with the longest sequence length for starting sequence numbers below 1000000 are: Iterations = 21 and sequence-starts = [9009, 9090, 9900]. Note that only the first of any sequences with the same digits is printed below. (The others will differ only in their first term) 1 9009 2 2920 3 192210 4 19222110 5 19323110 6 1923123110 7 1923224110 8 191413323110 9 191433125110 10 19151423125110 11 19251413226110 12 1916151413325110 13 1916251423127110 14 191716151413326110 15 191726151423128110 16 19181716151413327110 17 19182716151423129110 18 29181716151413328110 19 19281716151423228110 20 19281716151413427110 21 19182716152413228110
Racket
<lang racket>
- lang racket
(define (next s)
(define v (make-vector 10 0))
(for ([c s])
(define d (- (char->integer #\9) (char->integer c)))
(vector-set! v d (add1 (vector-ref v d))))
(string-append* (for/list ([x v] [i (in-range 9 -1 -1)] #:when (> x 0))
(format "~a~a" x i))))
(define (seq-of s)
(reverse (let loop ([ns (list s)])
(define n (next (car ns)))
(if (member n ns) ns (loop (cons n ns))))))
(define (sort-string s)
(list->string (sort (string->list s) char>?)))
(define-values [len nums seq]
(for/fold ([*len #f] [*nums #f] [*seq #f])
([n (in-range 1000000 -1 -1)]) ; start at the high end
(define s (number->string n))
(define sorted (sort-string s))
(cond [(equal? s sorted)
(define seq (seq-of s))
(define len (length seq))
(cond [(or (not *len) (> len *len)) (values len (list s) seq)]
[(= len *len) (values len (cons s *nums) seq)]
[else (values *len *nums *seq)])]
;; not sorted: see if it's a permutation of the best
[else (values
*len
(if (and *nums (member sorted *nums)) (cons s *nums) *nums)
*seq)])))
(printf "Numbers: ~a\nLength: ~a\n" (string-join nums ", ") len) (for ([n seq]) (printf " ~a\n" n)) </lang>
- Output:
Numbers: 9009, 9090, 9900 Length: 21 9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
REXX
The REXX language supports sparse (stemmed) arrays, so this program utilizes REXX's hashing of
array elements to speed up the checking to see if a sequence has been generated before.
<lang rexx>/*REXX pgm generates a self-referential sequence and lists the maximums.*/
parse arg low high .; maxL=0; seeds=; max$$=
if low== then low=1 /*no low? Then use the default*/
if high== then high=1000000 /* " high? " " " " */
/*══════════════════════════════════════════════════traipse through #'s.*/
do seed=low to high; n=seed; $.=0; $$=n; $.n=1
do j=1 until x==n /*generate an interation sequence*/
x=n; n=
do k=9 by -1 for 10 /*gen new sequence*/
_=countstr(k,x); if _\==0 then n=n||_||k
end /*k*/
if $.n then leave /*sequence been generated before?*/
$$=$$'-'n; $.n=1 /*add number to sequence & roster*/
end /*j*/
if j==maxL then do /*sequence equal to max so far ? */
seeds=seeds seed; maxnums=maxnums n; max$$=max$$ $$
end
else if j>maxL then do /*have found a new best sequence.*/
seeds=seed; maxL=j; maxnums=n; max$$=$$
end
end /*seed*/
/*═══════════════════════════════════════════════════display the output.*/ say 'seeds that had the most iterations =' seeds hdr=copies('─',30); say 'maximum sequence length =' maxL
do j=1 for words(max$$); say
say hdr "iteration sequence for: " word(seeds,j) ' ('maxL "iterations)"
q=translate(word(max$$,j),,'-')
do k=1 for words(q); say word(q,k)
end /*k*/
end /*j*/
/*stick a fork in it, we're done.*/</lang>
output when using the default input of: 1 1000000
seeds that had the most iterations = 9009 9090 9900 maximum sequence length = 21 ────────────────────────────── iteration sequence for: 9009 (21 iterations) 9009 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110 ────────────────────────────── iteration sequence for: 9090 (21 iterations) 9090 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110 ────────────────────────────── iteration sequence for: 9900 (21 iterations) 9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Ruby
Cached for performance <lang ruby>$cache = {} def selfReferentialSequence_cached(n, seen = [])
return $cache[n] if $cache.include? n return [] if seen.include? n
digit_count = Array.new(10, 0)
n.to_s.chars.collect {|char| digit_count[char.to_i] += 1}
term =
9.downto(0).each do |d|
if digit_count[d] > 0
term += digit_count[d].to_s + d.to_s
end
end
term = term.to_i
$cache[n] = [n] + selfReferentialSequence_cached(term, [n] + seen)
end
limit = 1_000_000 max_len = 0 max_vals = []
1.upto(limit - 1) do |n|
seq = selfReferentialSequence_cached(n) if seq.length > max_len max_len = seq.length max_vals = [n] elsif seq.length == max_len max_vals << n end
end
puts "values: #{max_vals.inspect}" puts "iterations: #{max_len}" puts "sequence:" selfReferentialSequence_cached(max_vals[0]).each_with_index do |val, idx|
puts "%2d %d" % [idx + 1, val]
end</lang> output
values: [9009, 9090, 9900] iterations: 21 sequence: 1 9009 2 2920 3 192210 4 19222110 5 19323110 6 1923123110 7 1923224110 8 191413323110 9 191433125110 10 19151423125110 11 19251413226110 12 1916151413325110 13 1916251423127110 14 191716151413326110 15 191726151423128110 16 19181716151413327110 17 19182716151423129110 18 29181716151413328110 19 19281716151423228110 20 19281716151413427110 21 19182716152413228110
TXR
This is a close, almost expression-by-expression transliteration of the Clojure version.
<lang txr>@(do
;; Syntactic sugar for calling reduce-left
(defmacro reduce-with ((acc init item sequence) . body)
^(reduce-left (lambda (,acc ,item) ,*body) ,sequence ,init))
;; Macro similar to clojure's ->> and -> (defmacro opchain (val . ops) ^[[chain ,*[mapcar [iffi consp (op cons 'op)] ops]] ,val])
;; Reduce integer to a list of integers representing its decimal digits.
(defun digits (n)
(if (< n 10)
(list n)
(opchain n tostring list-str (mapcar (op - @1 #\0)))))
(defun dcount (ds) (digits (length ds)))
;; Perform a look-say step like (1 2 2) --"one 1, two 2's"-> (1 1 2 2).
(defun summarize-prev (ds)
(opchain ds copy (sort @1 >) (partition-by identity)
(mapcar [juxt dcount first]) flatten))
;; Take a starting digit string and iterate the look-say steps,
;; to generate the whole sequence, which ends when convergence is reached.
(defun convergent-sequence (ds)
(reduce-with (cur-seq nil ds [giterate true summarize-prev ds])
(if (member ds cur-seq)
(return-from convergent-sequence cur-seq)
(nconc cur-seq (list ds)))))
;; A candidate sequence is one which begins with montonically
;; decreasing digits. We don't bother with (9 0 9 0) or (9 0 0 9);
;; which yield identical sequences to (9 9 0 0).
(defun candidate-seq (n)
(let ((ds (digits n)))
(if [apply >= ds]
(convergent-sequence ds))))
;; Discover the set of longest sequences.
(defun find-longest (limit)
(reduce-with (max-seqs nil new-seq [mapcar candidate-seq (range 1 limit)])
(let ((cmp (- (opchain max-seqs first length) (length new-seq))))
(cond ((> cmp 0) max-seqs)
((< cmp 0) (list new-seq))
(t (nconc max-seqs (list new-seq)))))))
(defvar *results* (find-longest 1000000))
(each ((result *results*))
(flet ((strfy (list) ;; (strfy '((1 2 3 4) (5 6 7 8))) -> ("1234" "5678")
(mapcar [chain (op mapcar tostring) cat-str] list)))
(let* ((seed (first result))
(seeds (opchain seed perm uniq (remove-if zerop @1 first))))
(put-line `Seed value(s): @(strfy seeds)`)
(put-line)
(put-line `Iterations: @(length result)`)
(put-line)
(put-line `Sequence: @(strfy result)`)))))</lang>
- Output:
$ txr self-ref-seq.txr Seed value(s): 9900 9090 9009 Iterations: 21 Sequence: 9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Mostly the same logic. The count-and-say function is based on the same steps, but stays in the string domain instead of converting the input to a list, and then the output back to a string. It also avoids building the output backwards and reversing it, so out must be accessed on the right side inside the loop. This is easy due to Python-inspired array indexing semantics: -1 means last element, -2 second last
and so on.
Like in Common Lisp, TXR's sort is destructive, so we take care to use copy-str.
<lang txr>@(do
(defun count-and-say (str)
(let* ((s [sort (copy-str str) <])
(out `@[s 0]0`))
(each ((x s))
(if (eql x [out -1])
(inc [out -2])
(set out `@{out}1@x`)))
out))
(defun ref-seq-len (n : doprint)
(let ((s (tostring n)) hist)
(while t
(push s hist)
(if doprint (pprinl s))
(set s (count-and-say s))
(each ((item hist)
(i (range 0 2)))
(when (equal s item)
(return-from ref-seq-len (length hist)))))))
(defun find-longest (top)
(let (nums (len 0))
(each ((x (range 0 top)))
(let ((l (ref-seq-len x)))
(when (> l len) (set len l) (set nums nil))
(when (= l len) (push x nums))))
(list nums len)))
(let ((r (find-longest 1000000))) (format t "Longest: ~a\n" r) (ref-seq-len (first (first r)) t)))</lang>
- Output:
Longest: ((9900 9090 9009 99) 21) 9900 2029 102219 10212219 10313219 1031122319 1041222319 103132131419 105112331419 10511223141519 10612213142519 1051321314151619 1071122314251619 106132131415161719 108112231415261719 10713213141516171819 10911223141516271819 10813213141516171829 10812223141516172819 10714213141516172819 10812213241516271819
<lang txr>@(do
;; Macro very similar to Racket's for/fold
(defmacro for-accum (accum-var-inits each-vars . body)
(let ((accum-vars [mapcar first accum-var-inits])
(block-sym (gensym))
(next-args [mapcar (ret (progn @rest (gensym))) accum-var-inits])
(nvars (length accum-var-inits)))
^(let ,accum-var-inits
(flet ((iter (,*next-args)
,*[mapcar (ret ^(set ,@1 ,@2)) accum-vars next-args]))
(each ,each-vars
,*body)
(list ,*accum-vars)))))
(defun next (s)
(let ((v (vector 10 0)))
(each ((c s))
(inc [v (- #\9 c)]))
(cat-str
(collect-each ((x v)
(i (range 9 0 -1)))
(when (> x 0)
`@x@i`)))))
(defun seq-of (s)
(for* ((ns ()))
((not (member s ns)) (reverse ns))
((push s ns) (set s (next s)))))
(defun sort-string (s)
[sort (copy s) >])
(tree-bind (len nums seq)
(for-accum ((*len nil) (*nums nil) (*seq nil))
((n (range 1000000 0 -1))) ;; start at the high end
(let* ((s (tostring n))
(sorted (sort-string s)))
(if (equal s sorted)
(let* ((seq (seq-of s))
(len (length seq)))
(cond ((or (not *len) (> len *len)) (iter len (list s) seq))
((= len *len) (iter len (cons s *nums) seq))))
(iter *len
(if (and *nums (member sorted *nums)) (cons s *nums) *nums)
*seq))))
(put-line `Numbers: @{nums ", "}\nLength: @len`)
(each ((n seq)) (put-line ` @n`)))</lang>
- Output:
Numbers: 9009, 9090, 9900 Length: 21 9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
Tcl
<lang tcl>proc nextterm n {
foreach c [split $n ""] {incr t($c)}
foreach c {9 8 7 6 5 4 3 2 1 0} {
if {[info exist t($c)]} {append r $t($c) $c}
} return $r
}
- Local context of lambda term is just for speed
apply {limit {
# Build a digit cache; this adds quite a bit of speed
set done [lrepeat [set l2 [expr {$limit * 100}]] 0]
# Iterate over search space
set maxlen 0
set maxes {}
for {set i 0} {$i < $limit} {incr i} {
if {[lindex $done $i]} continue # Compute the sequence length for this value (with help from cache) set seq {} for {set seed $i} {$seed ni $seq} {set seed [nextterm $seed]} { if {$seed < $l2 && [lindex $done $seed]} { set len [expr {[llength $seq] + [lindex $done $seed]}] break } set len [llength [lappend seq $seed]] } # What are we going to do about it? if {$len > $maxlen} { set maxlen $len set maxes [list $i] } elseif {$len == $maxlen} { lappend maxes $i } # Update the cache with what we have learned foreach n $seq { if {$n < $l2} {lset done $n $len} incr len -1 }
}
# Output code
puts "max length: $maxlen"
foreach c $maxes {puts $c}
puts "Sample max-len sequence:"
set seq {}
# Rerun the sequence generator for printing; faster for large limits
for {set seed [lindex $c 0]} {$seed ni $seq} {set seed [nextterm $seed]} {
lappend seq $seed
puts "\t$seed" }
}} 1000000</lang> Output:
max length: 21 9009 9090 9900 Sample max-len sequence: 9900 2920 192210 19222110 19323110 1923123110 1923224110 191413323110 191433125110 19151423125110 19251413226110 1916151413325110 1916251423127110 191716151413326110 191726151423128110 19181716151413327110 19182716151423129110 29181716151413328110 19281716151423228110 19281716151413427110 19182716152413228110
zkl
<lang zkl>N:=0d1_000_001;
fcn lookAndJustSaying(seed){ // numeric String --> numeric String
"9876543210".pump(String,'wrap(n){
(s:=seed.inCommon(n)) and String(s.len(),n) or ""
});
} fcn sequence(seed){ // numeric string --> sequence until it repeats
seq:=L();
while(not seq.holds(seed)){ seq.append(seed); seed=lookAndJustSaying(seed); }
seq
} fcn decending(str) //--> True if digits are in descending (or equal) order
{ (not str.walker().zipWith('<,str[1,*]).filter1()) }
szs:=List.createLong(25); max:=0; foreach seed in (N){
z:=seed.toString();
if(decending(z)){ // 321 generates same sequence as 312,132,123,213
len:=sequence(z).len();
if(len>max) szs.clear();
if(len>=max){ szs.append(seed.toString()); max=len; }
}
}
// List permutations of longest seeds // ("9900"-->(((9,0,0,9),...))-->((9,0,0,9),...)-->("9009"...) // -->remove numbers w/leading zeros-->remove dups zs:=szs.apply(Utils.Helpers.permute).flatten().apply("concat")
.filter(fcn(s){ s[0]!="0" }) : Utils.Helpers.listUnique(_);
println(max," iterations for ",zs.concat(", ")); zs.pump(Console.println,sequence,T("concat",", "));</lang> Ignoring permutations cut run time from 4 min to 9 sec.
- Output:
21 iterations for 9900, 9090, 9009 9900, 2920, 192210, 19222110, 19323110, 1923123110, 1923224110, 191413323110, 191433125110, 19151423125110, 19251413226110, 1916151413325110, 1916251423127110, 191716151413326110, 191726151423128110, 19181716151413327110, 19182716151423129110, 29181716151413328110, 19281716151423228110, 19281716151413427110, 19182716152413228110 9090, 2920, 192210, 19222110, 19323110, 1923123110, 1923224110, 191413323110, 191433125110, 19151423125110, 19251413226110, 1916151413325110, 1916251423127110, 191716151413326110, 191726151423128110, 19181716151413327110, 19182716151423129110, 29181716151413328110, 19281716151423228110, 19281716151413427110, 19182716152413228110 9009, 2920, 192210, 19222110, 19323110, 1923123110, 1923224110, 191413323110, 191433125110, 19151423125110, 19251413226110, 1916151413325110, 1916251423127110, 191716151413326110, 191726151423128110, 19181716151413327110, 19182716151423129110, 29181716151413328110, 19281716151423228110, 19281716151413427110, 19182716152413228110