public void MultiRandInt32()
{
var mr = Rng.SplitMix();
var data = mr.Span <int>(Pow2.T23);
int pos = 0, neg = 0, zed = 0;
foreach (var x in data)
{
if (x > 0)
{
pos++;
}
else if (x < 0)
{
neg++;
}
else
{
zed++;
}
}
var r = math.abs(pos - neg) / ((double)pos + (double)neg);
var tolerance = .01;
Claim.lt(r, tolerance);
}
public void bench_splitmix_bernoulli_u64()
{
var gen = Rng.SplitMix();
var sampler = gen.Bernoulli <byte>(.35);
Benchmark(sampler);
}
public void bench_splitmix_uniform_f64()
{
Benchmark(Rng.SplitMix().PointSource <double>());
}
void bench_splitmix_bitsource()
{
Benchmark(Rng.SplitMix().PointSource <ulong>().ToBitStream());
}
public void bench_splitmix_bitstring()
{
Benchmark((Rng.SplitMix().BitStringSource((Pow2.T03, Pow2.T08))));
}
public void bench_splitmix_uniform_u64()
{
Benchmark(Rng.SplitMix().PointSource <ulong>());
}
