llFrand
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Summary
Function: float llFrand( float mag );| 8 | Function ID |
| 0.0 | Forced Delay |
| 10.0 | Energy |
Returns a float that is pseudo random in the range [0.0, mag) or (mag, 0.0].[1]
The sign of mag matches the return.
| • float | mag | – | Any valid float value |
When converting the float to an integer, be sure to use an integer typecast (integer) and not one of the rounding functions (llRound, llFloor, llCeil). The integer typecast is the only method guaranteed not to skew the distribution of integer values.
Caveats
- The random number generator is not a source of entropy.
- The sequence of random numbers are shared across the entire simulator process, and not independently seeded. Therefore, the pseudo random number generation is not suitable for any application which requires completely predictable or completely unpredictable results.
- It should be remembered that when passing llFrand an integer as the mag, it will be implicitly typecast to a float.
- Integers outside the range [-224, +224] may not be accurately represented (this is an inherent limitation of the float type).
- Integers generated with this function cannot contain more than 24 random bits, yielding 224 possible final values.
Examples
| Method one: returns float within (5.0, 10.0] | Method two: returns float within (5.0, 10.0] |
|---|---|
| <lsl>
default { state_entry()
{
float randomFloat = 10.0 + llFrand(-5.0);
llSay(PUBLIC_CHANNEL, (string) randomFloat); } } </lsl> |
<lsl> default { state_entry()
{
float randomFloat = 10.0 - llFrand(5.0);
llSay(PUBLIC_CHANNEL, (string) randomFloat); } } </lsl> |
<lsl> // *near* 50:50 chance of "Heads" vs. "Tails" integer coin_toss() {
if (llFrand(1.0) < 0.5) return TRUE; return FALSE;
}
// Sometimes it is useful to get a random integer over a given range. This is // a surprisingly tricky and emotive subject and has caused endless discussion // on the scripting groups. The primary cause of probability errors when // employing llFrand is to have a varying bin size on the edges of the range. // // As the bracket notation indicates, [0.0, mag), the function is inclusive of // the 0.0 and exclusive of the entered value. Because an LSL floating point // number is only a subset of real numbers and does not have infinite // granularity, this schema will work for any float greater than float // t = 1.175494351e-38; at which value the function will return only zero. At a // float beyond this, a math error occurs.
// Random integer generator: // Contributed by Mephistopheles Thalheimer, // original function posted by Hg Beeks
// Returns a pseudo-random integer in the range of min to max inclusive.
// Rationale: // Expands the range by 1.0 to ensure equal bin spacing on ends relative to // the middle of the range and then uses an integer cast to round towards // zero.
// Caveats: // This function is not range checked and will fail if max < min
integer random_integer(integer min, integer max) {
return min + (integer)(llFrand(max - min + 1));
}
say(string message) {
llSay(PUBLIC_CHANNEL, message);
}
default {
touch_start(integer total_number)
{
// *near* 50:50 chance of "Heads" vs. "Tails"
if (coin_toss()) say("Heads");
else say("Tails");
integer n1 = random_integer(2, 8); // Return a random number between 2 and 8
say("I chose a " + (string)n1);
}
}</lsl>
<lsl> // Simple integer random number tester // Contributed by Mephistopheles Thalheimer
// This is a random number tester designed to give a quick visual explanation // and proof of why some random integer functions just do not work. In general, // with any random number generator, if you can see a pattern emerging, then // chances are, the function is not random.
// The test case given "silly_random_integer( .. )" shows the type of pitfalls // that can happen. Superficially, it would seem like a good candidate. I // thought so, and in fact mooted it in a discussion, however, a bit of thought // reveals that the first and last bin are only collecting rounded results from // half the float space as the rest of the integers. They are therefore // under-represented in output, and the generator is flawed.
integer random_integer(integer min, integer max)
{
return min + (integer)llFrand(max - min + 1);
}
integer silly_random_integer(integer min, integer max) {
return min + (integer)(llRound(llFrand(max - min))); // Looks good, but does not work
}
say(string message) {
llSay(PUBLIC_CHANNEL, message);
}
// Simple integer random number tester // Contributed by Mephistopheles Thalheimer
list bins;
integer MIN = 2; // The minimum integer you want integer MAX = 5; // The maximum integer you want
integer NUMBER_OF_TRIES = 10000; // The bigger the better.. but slower
default {
state_entry()
{
say("Bin tester ready.");
bins = [];
}
touch_start(integer total_number)
{
say("Started, be patient");
integer i;
integer r;
integer range = MAX - MIN;
for (i = 0; i <= range; ++i)
{
bins += [ 0 ];
}
integer v;
integer out_of_range;
for (i = 0; i < NUMBER_OF_TRIES; ++i)
{
// Replace the next line with the function you are testing
r = silly_random_integer(MIN, MAX);
// Note the output on the next line has about 0.5 expected hits on the first and last bin // r = random_integer(MIN, MAX);
if (r > MAXUseful Snippets
Pseudo-random_Number_Generator - Suitable for apps which require repeatable results that feel random.
See Also
Functions
| • | llListRandomize |
Deep Notes
Footnotes
- ^ The ranges in this article are written in Interval Notation.
Signature |
|---|
function float llFrand( float mag ); |