def test_gaussian(self):
mut.Gaussian()
mut.Gaussian(0.5, 0.2)
dut = mut.Gaussian(mean=1.0, stddev=0.1)
dut.mean = 2.0
dut.stddev = 0.2
self._check_distribution(dut)
def test_distribution_variant(self):
"""Confirms that the free functions that operate on a variant are
bound."""
items = [
mut.Deterministic(1.0),
mut.Gaussian(1.0, 0.1),
mut.Uniform(-1.0, 1.0),
mut.UniformDiscrete([0.0, 1.0]),
]
for item in items:
copied = mut.ToDistribution(item)
self._check_distribution(copied)
mut.Sample(var=item, generator=RandomGenerator())
mut.Mean(var=item)
mut.ToSymbolic(var=item)
if mut.IsDeterministic(var=item):
mut.GetDeterministicValue(var=item)