def test_rate():
"""
Invalid rate.
"""
with pytest.raises(ValueError):
msd.Exponential([-0.1], dtype=dtype.float32)
with pytest.raises(ValueError):
msd.Exponential([0.0], dtype=dtype.float32)
def test_arguments():
"""
Args passing during initialization.
"""
e = msd.Exponential()
assert isinstance(e, msd.Distribution)
e = msd.Exponential([0.1, 0.3, 0.5, 1.0], dtype=dtype.float32)
assert isinstance(e, msd.Distribution)
def __init__(self):
super(ExponentialProb1, self).__init__()
self.e = msd.Exponential(dtype=dtype.float32)
def test_seed():
with pytest.raises(TypeError):
msd.Exponential([0.1], seed='seed')
def test_name():
with pytest.raises(TypeError):
msd.Exponential([0.1], name=1.0)
def test_type():
with pytest.raises(TypeError):
msd.Exponential([0.1], dtype=dtype.int32)
def __init__(self):
super(ExponentialBasics, self).__init__()
self.e = msd.Exponential([0.3, 0.5], dtype=dtype.float32)
def __init__(self):
super(ExpConstruct, self).__init__()
self.e = msd.Exponential(0.5, dtype=dtype.float32)
self.e1 = msd.Exponential(dtype=dtype.float32)
def __init__(self):
super(ExponentialKl, self).__init__()
self.e1 = msd.Exponential(0.7, dtype=dtype.float32)
self.e2 = msd.Exponential(dtype=dtype.float32)
def __init__(self):
super(ExponentialCrossEntropy, self).__init__()
self.e1 = msd.Exponential(0.3, dtype=dtype.float32)
self.e2 = msd.Exponential(dtype=dtype.float32)
def __init__(self):
super(Net2, self).__init__()
self.expon = msd.Exponential(dtype=dtype.float32)
self.expon1 = msd.Exponential(1.0, dtype=dtype.float32)
self.expon2 = msd.Exponential(2.0, dtype=dtype.float32)
def __init__(self):
super(KL, self).__init__()
self.e = msd.Exponential([1.5], dtype=dtype.float32)
def __init__(self):
super(LogProb, self).__init__()
self.e = msd.Exponential([[1.0], [0.5]], dtype=dtype.float32)
def __init__(self):
super(CrossEntropy, self).__init__()
self.e = msd.Exponential([1.0], dtype=dtype.float32)
def __init__(self, shape, seed=0):
super(Sampling, self).__init__()
self.e = msd.Exponential([[1.0], [0.5]],
seed=seed,
dtype=dtype.float32)
self.shape = shape
