[NTG-context] supp-ran.lua makes code unable to work in ConTeXt
Aditya Mahajan
adityam at umich.edu
Sat May 2 05:05:22 CEST 2020
On Sat, 2 May 2020, Hans Hagen wrote:
> On 5/1/2020 11:38 PM, Aditya Mahajan wrote:
>> On Fri, 1 May 2020, Hans Hagen wrote:
>>
>>> On 5/1/2020 6:12 AM, Jairo A. del Rio wrote:
>>>> I've adapted the following code to make mazes in LuaLaTeX and ConTeXt:
>>>> https://www.rosettacode.org/wiki/Maze_generation#Lua
>>>>
>>>> I defined a modified version to make content visible to TeX and I saved
>>>> in a file named maze.lua:
>>>>
>>>> function make_maze_tex(w, h, m)
>>>> w = w or 16
>>>> h = h or 8
>>>>
>>>> local map = initialize_grid(w*2+1, h*2+1)
>>>>
>>>> function walk(x, y)
>>>> map[y][x] = false
>>>>
>>>> local d = { 1, 2, 3, 4 }
>>>> shuffle(d)
>>>> for i, dirnum in ipairs(d) do
>>>> local xx = x + dirs[dirnum].x
>>>> local yy = y + dirs[dirnum].y
>>>> if map[yy] and map[yy][xx] then
>>>> map[avg(y, yy)][avg(x, xx)] = false
>>>> walk(xx, yy)
>>>> end
>>>> end
>>>> end
>>>>
>>>> walk(math.random(1, w)*2, math.random(1, h)*2)
>>>>
>>>> ...ext/tex/texmf-context/tex/context/base/mkiv/supp-ran.lua:30: C stack
>>>> overflow Why does it happen? I guess it has something to do with
>>>> math.randomseed, but I don't know how to avoid this error message.
>>> no, it's just lua running out of stack space so it depends on the binary
>>> (and als the initial random value)
>>
>> But why is it running out of stack? Isn't the walk function tail
>> recursive, in which case it should not cause a stack overflow
>> (https://www.lua.org/pil/6.3.html).
> not really tail recursive: that is only true when it's the last action and
> return is used and it nests very deep
>
> function foo(...)
> ...
> return foo(...)
> end
>
> versus
>
> function foo(...)
> ...
> if something then
> foo(...)
> end
> end
Thanks for the clarification.
If you or anyone else is going to play around with generating mazes,
definitely take a look at http://www.mazesforprogrammers.com/
and the live demos here:
https://weblog.jamisbuck.org/2011/2/7/maze-generation-algorithm-recap
Aditya
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