/// <summary>
/// Fill an array with samples from the distribution, using the provided <see cref="IRandomSource"/> as the source of entropy.
/// </summary>
/// <returns>A random sample.</returns>
public void Sample(IRandomSource rng, float[] buf)
{
if (_signed)
{
UniformDistribution.SampleSigned(rng, _max, buf);
}
else
{
UniformDistribution.Sample(rng, _max, buf);
}
}
/// <summary>
/// Fills the provided span with random samples from the distribution,
/// using the provided <see cref="IRandomSource"/> as the source of entropy.
/// </summary>
/// <param name="span">The span to fill with samples.</param>
/// <param name="rng">Random source.</param>
public void Sample(Span <float> span, IRandomSource rng)
{
if (_signed)
{
UniformDistribution.SampleSigned(rng, _max, span);
}
else
{
UniformDistribution.Sample(rng, _max, span);
}
}
/// <summary>
/// Fill an array with samples from the distribution.
/// </summary>
public void Sample(float[] buf)
{
if (_signed)
{
UniformDistribution.SampleSigned(_rng, _max, buf);
}
else
{
UniformDistribution.Sample(_rng, _max, buf);
}
}
/// <summary>
/// Fills the provided span with random samples from the distribution.
/// </summary>
/// <param name="span">The span to fill with samples.</param>
public void Sample(Span <float> span)
{
if (_signed)
{
UniformDistribution.SampleSigned(_rng, _max, span);
}
else
{
UniformDistribution.Sample(_rng, _max, span);
}
}
/// <summary>
/// Construct with the given distribution and a new random source.
/// </summary>
/// <param name="max">Uniform distribution max value.</param>
/// <param name="signed">If true then the distribution interval is (-max, max), otherwise it is [0, max).</param>
public UniformDistributionStatelessSampler(float max, bool signed)
{
_max = max;
_signed = signed;
// Note. We predetermine which of these two function variants to use at construction time,
// thus avoiding a branch on each invocation of Sample() (i.e. this is a micro-optimization).
if (signed)
{
_sampleFn = (rng) => UniformDistribution.SampleSigned(rng, _max);
}
else
{
_sampleFn = (rng) => UniformDistribution.Sample(rng, _max);
}
}