see 
http://www.linuxcnc.org/docview/html//gcode_overview.html#sub:Numbered-Parameters

example have an array of values  #200 to #300
and use #3 as a counter
#[200+#3]

Dave Caroline

On Wed, Aug 26, 2009 at 7:59 AM, Erik
Christiansen<dva...@internode.on.net> wrote:
> On Wed, Aug 26, 2009 at 12:34:14AM +0200, Andy Pugh wrote:
>> 2009/8/26 Alan Battersby <alan.batter...@ntlworld.com>:
>>
>> > So can someone suggest the best way of achieving my aim?
>>
>> Possibly Python? ie instead of having the cleverness in g-code, have
>> it in a higher level language that produces g-code.
>
> There are almost too many text processing languages to choose from. When
> I created a code generator which converted Structured English to a 'C'
> implementation of large and numerous interacting state machines, Awk
> (gawk) fitted the bill admirably. (Its C-like syntax, plus associative
> arrays and regular expressions [1], made life a lot easier.)
>
> One convenience of gawk is that a variable is simultaneously a float and
> a string. Thus a textual depth value can be read in, computations performed
> without explicit type conversion, and the result merged into textual gcode
> output, again without the need for explicit type conversion.
>
> With gawk now providing coprocess communications, it would be simple to
> have it read (separate) surface profile and cutting data files, then
> generate and feed gcode to emc2, so long as the latter will accept it.
> (If it doesn't yet, then that would be very interesting to look at.
> However, reading from a file is the same as reading from a pipe, so emc2
> shouldn't know that it is reading from gawk output instead of a file.)
>
> For those of us who were programmers, the approach also offers the
> option of writing all our "gcode" in a higher level pseudocode,
> possessing increased readability, then using another gawk filter convert
> it to raw gcode. The gawk manpage is a little too terse for learning,
> naturally.
>
> Should the language  appeal, the Addison - Wesley book "The AWK
> Programming Language" is a goldmine. Its mere 204 pages plus powerful
> Keyword-in-context index speed learning by minimising verbiage, and
> maximising routes to the information sought.
>
> I'd be pleased to assist the climbing of the inevitable learning
> curve. And if a suitably difficult challenge can be found in your
> generator, it would be interesting to help nut out a solution.
>
> [1] The same EREs as "grep -E" uses. (Not some odd dialect.)
>    I wouldn't tackle any text processing task without them.
>
> Erik
>
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