D styled data format, Json failed

[nobody]

"Saaa" <empty at needmail.com> wrote in message 
news:gtlrs3$1b9s$1 at digitalmars.com...
>
> I looked at the JSON format and it seems very inefficient at loading 
> arrays as it isn't limited to one type per array.
> This is nice when you want to save a small array with different typed 
> elements but for my purposes this is kind of a performance problem.
>
> This is why I will try and get suggestions again about the D-styled format 
> I tried to suggest a few threads ago :)
>
> Let me suggest a simple example:
> (Please tell me when something isn't obvious :)
>
> ---file.dat
> //comment
> int number = 10;
>
> float [3][2]  simpleArray = [
> [0.1, 0.2, 0.3],
> [0.4, 0.5, 0.6]];
> --
>
> ---main.d
> static import ddata;
> void main()
> {
> char[][] file = read (`file.dat`);
> int i;
> char c;
>
> ddata.get(file,'number',i);
> ddata.get(file,'number',c); //type fail, thus returns -1 or throws an 
> exception
>
> float [3][2] a;
>
> ddata.get(file,'simpleArray',a);
> ddata.write(file,'simpleArrayCopy', a);
>
> a[0][0] =3.0;
>
> ddata.write(file,'simpleArray', a);
>
> write('file.dat', file);
> }
> --
>
> resulting data file:
>
> ---file.dat
> //comment
> int number = 10;
>
> float [3][2]  simpleArray = [
> [3.0, 0.2, 0.3],
> [0.4, 0.5, 0.6]];
>
> float [3][2]  simpleArrayCopy = [
> [0.1, 0.2, 0.3],
> [0.4, 0.5, 0.6]];
> -- 
>
>

I've run into similar problems when I wanted to save lots of stuff to a 
file, and be able to load them again.
Huge multi-dimensional arrays seem to be an issue with JSON and similar..

Such a file writer as you propose would be very handy to have.