def test_arguments():
"""
args passing during initialization.
"""
g = msd.Gamma()
assert isinstance(g, msd.Distribution)
g = msd.Gamma([3.0], [4.0], dtype=dtype.float32)
assert isinstance(g, msd.Distribution)
def __init__(self, shape, seed=0):
super(Sampling, self).__init__()
self.g = msd.Gamma(np.array([3.0]),
np.array([1.0]),
seed=seed,
dtype=dtype.float32)
self.shape = shape
def __init__(self,
concentration,
rate,
seed=10,
dtype=ms.float32,
name='Gamma'):
super().__init__()
self.b = msd.Gamma(concentration, rate, seed, dtype, name)
def test_gamma_shape_errpr():
"""
Invalid shapes.
"""
with pytest.raises(ValueError):
msd.Gamma([[2.], [1.]], [[2.], [3.], [4.]], dtype=dtype.float32)
def test_type():
with pytest.raises(TypeError):
msd.Gamma(0., 1., dtype=dtype.int32)
def __init__(self):
super(GammaBasics, self).__init__()
self.g = msd.Gamma(np.array([3.0, 4.0]),
np.array([4.0, 6.0]),
dtype=dtype.float32)
def __init__(self):
super(GammaConstruct, self).__init__()
self.gamma = msd.Gamma([3.0], [4.0])
self.gamma1 = msd.Gamma()
def __init__(self):
super(GammaProb, self).__init__()
self.gamma = msd.Gamma([3.0, 4.0], [1.0, 1.0], dtype=dtype.float32)
def test_rate():
with pytest.raises(ValueError):
msd.Gamma([0.], [0.])
with pytest.raises(ValueError):
msd.Gamma([0.], [-1.])
def test_concentration1():
with pytest.raises(ValueError):
msd.Gamma(0., 1.)
with pytest.raises(ValueError):
msd.Gamma(-1., 1.)
def test_rate():
with pytest.raises(ValueError):
msd.Gamma(0., 0.)
with pytest.raises(ValueError):
msd.Gamma(0., -1.)
def test_concentration0():
with pytest.raises(ValueError):
msd.Gamma([1.], [0.])
with pytest.raises(ValueError):
msd.Gamma([1.], [-1.])
def test_scalar():
with pytest.raises(TypeError):
msd.Gamma(3., [4.])
with pytest.raises(TypeError):
msd.Gamma([3.], -4.)
def test_seed():
with pytest.raises(TypeError):
msd.Gamma([0.], [1.], seed='seed')
def test_name():
with pytest.raises(TypeError):
msd.Gamma([0.], [1.], name=1.0)
def test_type():
with pytest.raises(TypeError):
msd.Gamma([0.], [1.], dtype=dtype.int32)
def test_name():
with pytest.raises(TypeError):
msd.Gamma(0., 1., name=1.0)
def test_concentration0():
with pytest.raises(ValueError):
msd.Gamma(1., 0.)
with pytest.raises(ValueError):
msd.Gamma(1., -1.)
def test_seed():
with pytest.raises(TypeError):
msd.Gamma(0., 1., seed='seed')
def __init__(self):
super(CrossEntropy, self).__init__()
self.g = msd.Gamma(np.array([3.0]),
np.array([1.0]),
dtype=dtype.float32)
def __init__(self):
super(Net, self).__init__()
self.get_flags = msd.Gamma(np.array([3.0]),
np.array([1.0]),
dtype=dtype.float32)
def __init__(self):
super(GammaCrossEntropy, self).__init__()
self.g1 = msd.Gamma(np.array([3.0]),
np.array([4.0]),
dtype=dtype.float32)
self.g2 = msd.Gamma(dtype=dtype.float32)
def __init__(self):
super(GammaProb1, self).__init__()
self.gamma = msd.Gamma()
def __init__(self):
super(LogProb, self).__init__()
self.g = msd.Gamma(np.array([3.0]),
np.array([1.0]),
dtype=dtype.float32)
