Thanks,
brian

p

–
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http://www.myspace.com/pvre
http://www.heartchamberorchestra.org

http://www.trblnc.org

> Brian Heller wrote:
>> Hi,
>> Just wondering what the equivalent to something like [drunk] or
>> [urn] is for floats? I see these object convert all floats to ints.
>>
>> Thanks,
>> brian
>>
> [drunk 1000 10] -> [/ 999.]
> i guess the equivalent for [urn] you will figure out yourself =)

Although, remember that the first argument of drunk represent a range
and it is included (/ 1000. might be “better”), whereas the first
argument of urn is the number of random values therefore it’s not
included (/ 999.).

ej

http://www.fredrikolofsson.com/pages/code-max.html

Also, Peter C. will be here shortly to recommend his indispensable Litter package…

http://www.bek.no/~pcastine/Litter/

–
http://pure.test.at
http://www.myspace.com/pvre
http://www.heartchamberorchestra.org

http://www.trblnc.org

Drunk is a Brownian motion in the integer domain. Lp.pfff is Brownian motion in the real (floating point) domain.

Lp.pfff and lp.sss are in the Litter Starter Pack, the other Litter Power objects are in the Pro Bundle. URIs below.

–

For urn–Litter Power also has a more ‘powerful’ version (lp.ernie), but it is also in the integer domain. To be honest, the basic urn model doesn’t make sense in the floating point domain. The urn model is that of a finite number of discrete possible “events”. Any floating point domain is (approximately) infinite. So could you be more precise about what you want? If what you’re after is a choice of several discrete floating point values, then you can combine ernie (or urn) with a trigger object. See patch below.

Hope this helps — Peter

#P window setfont “Sans Serif” 9.;
#P window linecount 1;
#P newex 517 234 41 196617 t clear;
#P newex 492 312 33 196617 print;
#P newex 646 285 32 196617 42.;
#P newex 492 285 58 196617 t 1.41421;
#P newex 569 285 64 196617 t 3.141953;
#P newex 492 263 242 196617 route 0 1 2;
#P newex 492 213 35 196617 urn 3;
#P button 492 180 15 0;
#P comment 434 182 45 196617 …or zis;
#P newex 495 150 33 196617 print;
#P newex 649 123 32 196617 42.;
#P newex 495 123 58 196617 t 1.41421;
#P newex 572 123 64 196617 t 3.141953;
#P newex 495 101 242 196617 route 0 1 2;
#P newex 525 43 90 196617 loadmess const 1;
#P newex 495 76 55 196617 lp.ernie 3;
#P button 495 43 15 0;
#P comment 433 44 45 196617 Like zis;
#P fasten 7 0 8 0 658 144 500 144;
#P fasten 5 0 8 0 577 145 500 145;
#P fasten 15 0 16 0 651 306 497 306;
#P fasten 13 0 16 0 574 307 497 307;
#P connect 11 0 12 0;
#P connect 10 0 11 0;
#P connect 11 1 17 0;
#P fasten 17 0 11 0 522 256 566 256 566 204 497 204;
#P connect 12 2 15 0;
#P connect 12 0 14 0;
#P connect 12 1 13 0;
#P connect 14 0 16 0;
#P connect 6 0 8 0;
#P fasten 3 0 2 0 530 66 500 66;
#P connect 1 0 2 0;
#P connect 2 0 4 0;
#P connect 4 1 5 0;
#P connect 4 0 6 0;
#P connect 4 2 7 0;
#P window clipboard copycount 18;

…

-mj

A bit over 2,000,000,000.

I realize the question was meant rhetorically, but it’s a good exercise to work it out.

But hey! compared to the Bush/Bernake/Paulsen bailout, it ain’t nuthin.

Thanks again,
Brian

Historically, Max was MIDI-oriented, and hence integer-oriented. Also, when Max was first developed, integers were significantly faster than floats on the CPUs available.

It’s still not clear what you want from a “float urn”. The animal doesn’t make sense. Unless you can specify what you’re after (which is probably not really a float urn) there’s not going to be any headway.

In a similar vein, the way drunk implements Brownian motion is inherently integer-oriented. When I began work on Brownian noise for Litter Power, I actually built a plug-and-play float replacement following the model used by drunk, but found that it didn’t work well. When I researched the literature about Brownian noise and related topics, I discovered algorithms that provide more satisfactory results, but were universes away from the range/step size model used by drunk.

If you can get what you want by simply dividing drunk’s output by an arbitrary factor, let me go into rabbinic mode and ask what would the benefit be of building a “float drunk”? Aside from the image of an inebriated cherub wobbling erratically with well-oiled wings, which does admit a certain charm.

Thanks again
Brian

I guess what you don’t like about the normal random, that it put outs
values almost the same as the old value. You can test for that and then
retrigger random to replace it with something more tasty.

That’s a general problem about good random, it doesn’t have taste. Bad
random does, but it doesn’t taste good. The art of algorithmic composing
is to create something which tastes good…
Cooking music in the end… ;-)

Stefan

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