def test_arguments():
"""
Args passing during initialization.
"""
p = msd.Poisson()
assert isinstance(p, msd.Distribution)
p = msd.Poisson([0.1, 0.3, 0.5, 1.0], dtype=dtype.float32)
assert isinstance(p, msd.Distribution)
def test_rate():
"""
Invalid rate.
"""
with pytest.raises(ValueError):
msd.Poisson([-0.1], dtype=dtype.float32)
with pytest.raises(ValueError):
msd.Poisson([0.0], dtype=dtype.float32)
def __init__(self):
super(Basics, self).__init__()
self.p = msd.Poisson([1.44], dtype=dtype.float32)
def __init__(self):
super(LogProb, self).__init__()
self.p = msd.Poisson([0.5], dtype=dtype.float32)
def __init__(self, shape, seed=0):
super(Sampling, self).__init__()
self.p = msd.Poisson([[1.0], [0.5]], seed=seed, dtype=dtype.float32)
self.shape = shape
def __init__(self):
super(PoissonProb1, self).__init__()
self.p = msd.Poisson(dtype=dtype.float32)
def test_seed():
with pytest.raises(TypeError):
msd.Poisson([0.1], seed='seed')
def test_name():
with pytest.raises(TypeError):
msd.Poisson([0.1], name=1.0)
def test_type():
with pytest.raises(TypeError):
msd.Poisson([0.1], dtype=dtype.bool_)
def __init__(self):
super(PoissonConstruct, self).__init__()
self.p = msd.Poisson([0.5, 0.5, 0.5, 0.5, 0.5], dtype=dtype.float32)
self.p1 = msd.Poisson(dtype=dtype.float32)
def __init__(self):
super(PoissonBasics, self).__init__()
self.p = msd.Poisson([2.3, 2.5], dtype=dtype.float32)
def __init__(self):
super(LogSF, self).__init__()
self.p = msd.Poisson(0.5, dtype=dtype.float32)
def test_scalar():
with pytest.raises(TypeError):
msd.Poisson(0.1, seed='seed')
