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Hey there, it's ya gender non-specific diminutive Zeda, here, and today we'll be looking at the Fisher-Yates shuffle algorithm and just how freaking efficient it can be for shuffling a list. For reference, it takes one second to shuffle a 999-element list at 6MHz, and if that ain't the way your deity intended it, I don't know what is.

First, how do we shuffle L1 in BASIC?



This is a super clever algorithm, but slow as heck as the lists get bigger. Plus, it uses an extra list of the same size, wasting precious RAM. So how does the Fisher-Yates algorithm work? You start at the last element. Randomly choose an element up to and including the current element and swap them. Now move down one element and repeat (so now the last element is off limits, then the last two, et cetera). Repeat this until there is one element left.

This is easy to perform in-place, and it performs n-1 swaps, making it significantly faster than the BASIC algorithm above. In fact, let's implement it in BASIC:



This takes approximately 37.5 seconds to sort a 999 element list. I don't even have the RAM needed to test the regular method, but extrapolating, it would take the "normal" method approximately 73 seconds for 999 elements. So basically, the Fisher-Yates algorithm is actually faster even in TI-BASIC (after about 400 elements, though).

So without further ado, the assembly code!


;Randomizes a TI-list in Ans

_RclAns= 4AD7h
seed1  = $80F8
seed2  = $80FC

#define bcall(x) rst 28h \ .dw x

.db $BB,$6D
.org $9D95

; Put it into 15MHz mode if possible!
  in a,(2)
  add a,a
  sbc a,a
  out (20h),a

; Initialize the random seed
  ld hl,seed1
  ld b,7
  ld a,r
  xor (hl)
  ld (hl),a
  inc hl
  djnz -_
  or 99
  or (hl)
  ld (hl),a

; Locate Ans, verify that it is a list or complex list
  ex de,hl
  ld c,(hl)
  inc hl
  ld b,(hl)
  inc hl
  ld (list_base),hl
  dec a
  jr z,+_
  sub 12
  ret nz
  dec a

;A is 0 if a real list, -1 if complex
;HL points to the first element
;BC is the number of elements
  and $29     ;make it either NOP or ADD HL,HL
  ld (get_complex_element),a
  sub 29h
  sbc a,a
;FF if real, 00 if complex
  and 9
  add a,9
  ld (element_size),a

  push bc

  push bc
  call rand
  pop bc
  ex de,hl
  call mul16
  dec bc
  ;swap elements DE and BC
  call get_element
  push hl
  ld d,b
  ld e,c
  call get_element
  pop de

  call swap_elements
  pop bc
  dec bc
  ld a,c
  dec a
  jr nz,shuffle_loop
  inc b
  dec b
  jr nz,shuffle_loop

;HL and DE point to the elements
element_size = $+2
  ld bc,255
  ld a,(de)
  dec hl
  ld (hl),a
  inc hl
  djnz -_

;   DE is the element to locate
;   HL points to the element
  ld l,e
  ld h,d
  add hl,hl
  add hl,hl
  add hl,hl
  add hl,de
list_base = $+1
  ld de,0
  add hl,de

;Tested and passes all CAcert tests
;Uses a very simple 32-bit LCG and 32-bit LFSR
;it has a period of 18,446,744,069,414,584,320
;roughly 18.4 quintillion.
;LFSR taps: 0,2,6,7  = 11000101
;Thanks to Runer112 for his help on optimizing the LCG and suggesting to try the much simpler LCG. On their own, the two are terrible, but together they are great.
    ld hl,(seed1)
    ld de,(seed1+2)
    ld b,h
    ld c,l
    add hl,hl \ rl e \ rl d
    add hl,hl \ rl e \ rl d
    inc l
    add hl,bc
    ld (seed1_0),hl
    ld hl,(seed1_1)
    adc hl,de
    ld (seed1_1),hl
    ex de,hl
    ld hl,(seed2)
    ld bc,(seed2+2)
    add hl,hl \ rl c \ rl b
    ld (seed2_1),bc
    sbc a,a
    and %11000101
    xor l
    ld l,a
    ld (seed2_0),hl
    ex de,hl
    add hl,bc

  ld hl,0
  ld a,16
  add hl,hl
  rl e
  rl d
  jr nc,+_
  add hl,bc
  jr nc,+_
  inc de
  dec a
  jr nz,mul16_loop

It isn't perfect, but it is pretty good and importantly, it is fast! The biggest problem is in the random number generator, but even that is still pretty good for this application.

Download (source + .8xp)

I might make a version for the ez80 calcs, but if somebody else wants to, it should be easy to adapt (and I think it'd be cool)!

EDIT: Changed download link to use Cemetech file archive link Smile
Well done! I'm all for beating TI at their own game.
It really goes to show how inefficient the O(n^2) "modified selection sort" of SortA( is that the BASIC version can spend something like 98.7% of its time in calls to rand and interpreter overhead and still be twice as fast as SortA(.
squishy wrote:
Well done! I'm all for beating TI at their own game.

The bar isn't very high Laughing

Before anyone complains, yes I know these errors are because of tolerances and rounding errors.
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