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Suppose we want to encode a large integer \$x\$ as a list of words in such a way that the decoder can recover \$x\$ regardless of the order in which the words are received. Using lists of length \$k\$ and a dictionary of \$n\$ words, there are \$\binom{n+k-1}k\$ different multisets possible (why?), so we should be able to represent values of \$x\$ from \$1\$ through \$\binom{n+k-1}k\$.

This is a code golf challenge to implement such an encoder and decoder (as separate programs or functions); your golf score is the total code length. Any sensible/conventional input & output formats are allowed.

Encode: Given positive integers \$n,k,x\$ with \$x\le\binom{n+k-1}k\$, encode \$x\$ as a list of \$k\$ integers between \$1\$ and \$n\$ (inclusive).

Decode: Given \$n\$ and a list of \$k\$ integers between \$1\$ and \$n\$, output the decoded message \$x\$.

Correctness requirement: If encode(n,k,x) outputs \$L\$ and \$\operatorname{sort}(L)=\operatorname{sort}(M)\$, then decode(n,M) outputs \$x\$.

Runtime requirement: Both operations must run in polynomial time with respect to the length of \$x\$ in bits. This is meant to rule out impractical brute-force solutions that just enumerate all the multisets.

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    \$\begingroup\$ Your restricted complexity requirement is perfectly legitimate, but impractical brute-force solutions and code-golf are actually good ol' friends. :-) \$\endgroup\$
    – Arnauld
    May 18 at 10:40
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    \$\begingroup\$ I admit I'm less interested in the byte-level golf and more interested in seeing simple practical algorithms for this problem! Should I change the post in some way to reflect this? \$\endgroup\$
    – Karl
    May 18 at 16:22
  • \$\begingroup\$ @Karl codegolf and simple/practical are pretty much mutually exclusive. If you are interested in the latter I suggest you drop the codegolf tag. Or rather I would suggest it if there weren't already an answer. \$\endgroup\$
    – loopy walt
    May 19 at 10:09
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    \$\begingroup\$ Is there a reason that you expect this to be possible within the complexity constraint of polynomial in the bit-length of \$x\$? I think the most efficient algorithm will be much like those on en.wikipedia.org/wiki/… with tweaks to cater for repeats, which I don't think will be. \$\endgroup\$ May 19 at 16:40

3 Answers 3

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Python, 258 bytes

from numpy import*
P=cumprod;p=prod
def e(x,k):r=r_[:k]+1;f=p(r);X=x*f-f;i=int(X**(1/k));Q=P([1,*i+r]);Q[-2::-1]*=P(i+1-r);j=sum(Q<=X);x-=Q[j-1]//f;k-=1;return*(1//k*[x]or e(x,k)),j+i-k
d=lambda L,j=1:1+sum([p(s-1+r_[:j])//p(r_[1:(j:=j+1)])for s in sort(L)])

Attempt This Online!

Two functions e and d for encoding and decoding: We do not use or accept parameter n since it is not needed (because using the "natural" encoding different n will give the same result provided they are large enough).

Multisets are represented as sorted sequences; the decoder also accepts unsorted input.

With n eliminated it actually makes sense to talk about complexity in x because now x can grow without bound.

I'll assume fixed k and that all basic operations including taking the kth root are polynomial in the bit length of their operands. As k is fixed this will also hold for all factorials and binomial coefficients the functions use.

How?

Decoding is easy since it amounts to summing a couple of binomial coefficients.

Encoding is a bit more tricky as we need to invert binomial coefficients (in n, k is fixed) to make this constant in terms of basic operations we use the simple inequality

\$n^\underline k \le n^k \le n^\overline k\$

where the underline and overline denote falling and rising factorials.

To find the largest n such that

\$\begin{pmatrix}n+k-1 \\ k \end{pmatrix}\le x\$

we take the kth root of k!x and then brute force check all rising factorials whose terms "pass" through the value obtained, k in total.

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  • \$\begingroup\$ Apologies for my mistake and the previous comments and thank you for taking the time to respond to them! \$\endgroup\$
    – Hunaphu
    May 20 at 14:36
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    \$\begingroup\$ @Hunaphu no worries. Good to see you figured it out in the end. \$\endgroup\$
    – loopy walt
    May 20 at 19:44
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Charcoal, 80 + 31 = 111 bytes

Encoder, 80 bytes

NθNη≔⁰ζ≔⁰ε≔¹δW¬›δη«≔δε≦⊕ζ≔÷×δ⁺ζθζδ»F⮌…⁰θ«W›εη«≦⊖ζ≔÷×εζ⁺ζ⊕ιε»⟦Iζ⟧≧⁻εη¿ι≔÷×ε⊕ι⁺ζιε

Try it online! Link is to verbose version of code. 0-indexed. Takes k and x as inputs. Explanation: Port of the sord function from this Math.SE answer, but outputs the values in reverse order since it's golfier.

Decoder, 31 bytes

W⁻θυF№θ⌊ι⊞υ⌊ιIΣEυ÷Π…·ι⁺ικΠ…·¹⊕κ

Try it online! Link is to verbose version of code. 0-indexed. Takes a list of k integers as input. Explanation:

W⁻θυF№θ⌊ι⊞υ⌊ι

Sort the integers.

IΣEυ÷Π…·ι⁺ικΠ…·¹⊕κ

Apply the ords algorithm from this Math.SE answer.

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    \$\begingroup\$ Isn't the sord function O(x^{1/k}) which is not polynomial in the bit length of x? I can't read charcoal, so I looked at the math SE code instead. (I was curious because efficient inversion of the binomial coefficient was what I got stuck at at my own attempts.) \$\endgroup\$
    – loopy walt
    May 19 at 5:50
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    \$\begingroup\$ @loopywalt The Math.SE question asks for the most efficient algorithm. I just assumed that it would be good enough for this question... \$\endgroup\$
    – Neil
    May 19 at 7:22
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Haskell, 283 bytes

import Data.List
i=fromIntegral
p=product
m=map
s=succ
t=pred
f n=p[1..n]
a k n=p[n..n+k-1]`div`f k
b k x=t$until((>x).a k)s$floor((i$x*f k)**(1/i k))
d _ _[]=0
d k n(e:f)=a k e+d(k-1)e f
e 1 n x=[x]
e k n x|let m=b k x=m:e(k-1)m(x-a k m)
c k n=(m s.e k n.t,s.d k n.m t.reverse.sort)

Try it online!

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