Display the source code in std/random.d from which this page was generated on github.

If you spot a problem with this page, click here to create a Bugzilla issue.

Quickly fork, edit online, and submit a pull request for this page. Requires a signed-in GitHub account. This works well for small changes. If you'd like to make larger changes you may want to consider using local clone.

Function `std.random.uniform01`

Generates a uniformly-distributed floating point number of type T in the range [0, 1). If no random number generator is specified, the default RNG rndGen will be used as the source of randomness.



T uniform01(T)()


if (isFloatingPoint!T);




T uniform01(T, UniformRNG)
(


  ref UniformRNG rng


)


if (isFloatingPoint!T && isUniformRNG!UniformRNG);

uniform01 offers a faster generation of random variates than the equivalent uniform!"[)"(0.0, 1.0) and so may be preferred for some applications.

Parameters

Name	Description
rng	(optional) random number generator to use; if not specified, defaults to `rndGen`

Returns

Floating-point random variate of type T drawn from the uniform distribution across the half-open interval [0, 1).

Example

import std.math.operations : feqrel;

auto rnd = MinstdRand0(42);

// Generate random numbers in the range in the range [0, 1)
auto u1 = uniform01(rnd);
assert(u1 >= 0 && u1 < 1);

auto u2 = rnd.uniform01!float;
assert(u2 >= 0 && u2 < 1);

// Confirm that the random values with the initial seed 42 are 0.000328707 and 0.524587
assert(u1.feqrel(0.000328707) > 20);
assert(u2.feqrel(0.524587) > 20);

Authors

Andrei Alexandrescu Masahiro Nakagawa (Xorshift random generator) Joseph Rushton Wakeling (Algorithm D for random sampling) Ilya Yaroshenko (Mersenne Twister implementation, adapted from mir-random)

License

Boost License 1.0.