Here's one that works in real time by building a subpatch with some objects, measuring that time, using that measurement to create and clear the subpatch anywhere from 0-9 more times, then multiplying the sum of all this time for the seed to [random]. Obviously if you create a complex object like [sigmund~] you'd get more variance but also a longer load time.
It looks to take less than a millisecond in the worst case for my version, but I don't know how random my randomness is.
Does someone have a tool to measure how random these approaches are?
-Jonathan
----- Original Message -----
From: Kaj Ailomaa zequence@mousike.me To: pd-list@iem.at Cc: Sent: Wednesday, November 14, 2012 3:24 PM Subject: Re: [PD] Random number generation quest
On Wed, 14 Nov 2012 15:53:44 +0100, Enrique Erne enrique@netpd.org wrote:
Hi List!
Can a random number form 0 to 100 be generated with the following
requirements:
- No externals / Vanilla Pd only - DSP must be off - The patch is loaded with Pd through command line interface i.e.
pd -noprefs -nogui givemerandom.pd- The output should not always be the same numberThanks for looking into it
eni
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Here's a solution using [realtime] and [del]
#N canvas 539 577 450 300 10; #X obj 184 51 loadbang; #X obj 184 125 realtime; #X obj 184 74 t b b; #X msg 211 195 seed $1; #X obj 184 96 del 5; #X obj 184 148 * 1000; #X obj 184 250 print; #X obj 184 171 t b f; #X obj 184 219 random 100; #X connect 0 0 2 0; #X connect 1 0 5 0; #X connect 2 0 4 0; #X connect 2 1 1 0; #X connect 3 0 8 0; #X connect 4 0 1 1; #X connect 5 0 7 0; #X connect 7 0 8 0; #X connect 7 1 3 0; #X connect 8 0 6 0;
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