path: root/doc/pddp/random-help.pd

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#X text 12 125 LIBRARY internal;
#X text 12 165 WEBSITE http://crca.ucsd.edu/~msp/;
#X text 12 25 LICENSE SIBSD;
#X text 12 145 AUTHOR Miller Puckette;
#X text 12 205 HELP_PATCH_AUTHORS This help patch was updated for Pd
version 0.35 test 29 by Dave Sabine as part of a project called pddp
proposed by Krzysztof Czaja to build comprehensive documentation for
Pd. Jonathan Wilkes revised the patch to conform to the PDDP template
for Pd version 0.42.;
#X text 12 45 DESCRIPTION pseudorandom integer generator;
#X text 12 5 KEYWORDS control random;
#X text 12 85 INLET_1 float;
#X text 12 105 OUTLET_0 float;
#X text 12 65 INLET_0 bang seed;
#X text 12 185 RELEASE_DATE 1997;
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#X text 20 255 These objects are offered in Pd only if you have downloaded
and properly installed the appropriate library. These objects may or
may not exist in a single library.;
#X text 20 297 The best places to find information about Pd's libraries
is:;
#X text 21 314 www.puredata.org and click on "Downloads" then "Software"
;
#X text 23 328 or;
#X text 20 343 iem.kug.ac.at/pdb/;
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#X text 98 408 <- triggers a dirty flag;
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#X text 98 355 float;
#X obj 481 3 random;
#X obj 455 20 pddp/pddplink http://wiki.puredata.info/en/random -text
pdpedia: random;
#X text 81 56 [random] outputs pseudorandom integers between 0 and
N-1 where N is the creation argument or the value of the right inlet.
;
#X obj 84 122 random 100;
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#X text 154 122 Generates random numbers between 0 and 99;
#X obj 84 187 random 100;
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#X floatatom 84 210 3 0 0 0 - - -;
#X floatatom 141 162 5 0 0 0 - - -;
#X text 181 162 Changes the 'range' of random numbers.;
#X text 98 260 bang;
#X text 98 299 seed;
#X text 168 299 - to specify the seed \, use the seed message followed
by a float ( "seed 42" ).;
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#X text 8 2 [random] About seeds;
#X text 21 158 However \, "seeds" can be inputted into [random] by
sending a message \, like below:;
#X msg 24 221 seed 42;
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#X text 21 294 Seeds are kept locally so that if two [random]s are
seeded the same \, they will have the same output - as demonstrated
below. Furthermore \, you can seed the same one twice to repeat the
output.;
#X msg 180 363 seed 42;
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#X text 233 363 Click again to repeat output.;
#X text 20 38 Random numbers are generated via a complex equation which
produces a pseudo-predictable sequence of numbers. Each [random] object's
equation is provided with a "seed" which is really just one of the
variables in the equation which produces the sequence. The "seed" is
generated by Pd based on specific parameters in each patch which contains
a [random] object. If more than one [random] object is contained within
a single patch \, each gets a different "seed".;
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#X text 20 39 While the "default" seed for each [random] is usually
very effective \, it may be necessary to find better - more unpredictable
- more indeterminate ways to seed the object to produce a more pleasing
result.;
#X text 20 96 Here are some ideas that may improve the implementation
of [random]:;
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#X text 64 137 Both methods here produce random numbers between 0 and
5;
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#X text 269 157 0 - 500;
#X text 41 239 between 0 and 5;
#X text 41 226 Produces whole numbers;
#X text 20 136 1;
#X text 20 283 2;
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#X text 240 226 between 0 and 5;
#X text 240 212 produces fractional results;
#X text 240 195 within range.;
#X text 240 182 divide by 100 to keep output;
#X text 206 298 "Time is on your side". Using the;
#X text 206 314 [timer] object here (which is;
#X text 206 343 interesting trick.;
#X text 207 329 started via loadbang) is an;
#X text 8 2 [random] More Info on Seeds;
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#X text 20 58 You can generate weighted random numbers from uniformly
distributed ones. If you just want two possible outcomes with a varying
probability for each one \, you can do as shown:;
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#X text 20 230 This outputs a number at left 80% of the time \, otherwise
at right \, unless you override the "80" using the number box. You
may extend this to more than two possible outcomes \, for instance
like this:;
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#X text 22 388 10%;
#X text 112 389 20%;
#X text 184 388 70%;
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#X text 8 2 [random] Weighted Random Numbers;
#X text 62 117 <- click to test;
#X text 156 150 <- change probablilty;
#X text 64 293 <- click to test;
#X text 20 25 There are many ways that [random] can be incorporated
into other structures that change the qualities of the results.;
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#X restore 102 507 pd weighted_random_numbers;
#X text 11 23 pseudorandom integer generator;
#X text 168 397 - the output is an integer between 0 and N-1.;
#X text 168 442 - sets the initial value of N \, where the output ranges
between 0 and N-1.;
#X text 168 260 - a bang to [random] will output an integer between
0 and N-1 \, where N is the creation argument or the value to the right
inlet.;
#X text 167 355 - a float to the right inlet sets N \, where the output
ranges between 0 and N-1.;
#X text 78 442 1) float;
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