示例#1
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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)
示例#2
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 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
示例#3
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 def __init__(self,
              concentration,
              rate,
              seed=10,
              dtype=ms.float32,
              name='Gamma'):
     super().__init__()
     self.b = msd.Gamma(concentration, rate, seed, dtype, name)
示例#4
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def test_gamma_shape_errpr():
    """
    Invalid shapes.
    """
    with pytest.raises(ValueError):
        msd.Gamma([[2.], [1.]], [[2.], [3.], [4.]], dtype=dtype.float32)
示例#5
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def test_type():
    with pytest.raises(TypeError):
        msd.Gamma(0., 1., dtype=dtype.int32)
示例#6
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 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)
示例#7
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 def __init__(self):
     super(GammaConstruct, self).__init__()
     self.gamma = msd.Gamma([3.0], [4.0])
     self.gamma1 = msd.Gamma()
示例#8
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 def __init__(self):
     super(GammaProb, self).__init__()
     self.gamma = msd.Gamma([3.0, 4.0], [1.0, 1.0], dtype=dtype.float32)
示例#9
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def test_rate():
    with pytest.raises(ValueError):
        msd.Gamma([0.], [0.])
    with pytest.raises(ValueError):
        msd.Gamma([0.], [-1.])
示例#10
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def test_concentration1():
    with pytest.raises(ValueError):
        msd.Gamma(0., 1.)
    with pytest.raises(ValueError):
        msd.Gamma(-1., 1.)
示例#11
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def test_rate():
    with pytest.raises(ValueError):
        msd.Gamma(0., 0.)
    with pytest.raises(ValueError):
        msd.Gamma(0., -1.)
示例#12
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def test_concentration0():
    with pytest.raises(ValueError):
        msd.Gamma([1.], [0.])
    with pytest.raises(ValueError):
        msd.Gamma([1.], [-1.])
示例#13
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def test_scalar():
    with pytest.raises(TypeError):
        msd.Gamma(3., [4.])
    with pytest.raises(TypeError):
        msd.Gamma([3.], -4.)
示例#14
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def test_seed():
    with pytest.raises(TypeError):
        msd.Gamma([0.], [1.], seed='seed')
示例#15
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def test_name():
    with pytest.raises(TypeError):
        msd.Gamma([0.], [1.], name=1.0)
示例#16
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def test_type():
    with pytest.raises(TypeError):
        msd.Gamma([0.], [1.], dtype=dtype.int32)
示例#17
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def test_name():
    with pytest.raises(TypeError):
        msd.Gamma(0., 1., name=1.0)
示例#18
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def test_concentration0():
    with pytest.raises(ValueError):
        msd.Gamma(1., 0.)
    with pytest.raises(ValueError):
        msd.Gamma(1., -1.)
示例#19
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def test_seed():
    with pytest.raises(TypeError):
        msd.Gamma(0., 1., seed='seed')
示例#20
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 def __init__(self):
     super(CrossEntropy, self).__init__()
     self.g = msd.Gamma(np.array([3.0]),
                        np.array([1.0]),
                        dtype=dtype.float32)
示例#21
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 def __init__(self):
     super(Net, self).__init__()
     self.get_flags = msd.Gamma(np.array([3.0]),
                                np.array([1.0]),
                                dtype=dtype.float32)
示例#22
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 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)
示例#23
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 def __init__(self):
     super(GammaProb1, self).__init__()
     self.gamma = msd.Gamma()
示例#24
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 def __init__(self):
     super(LogProb, self).__init__()
     self.g = msd.Gamma(np.array([3.0]),
                        np.array([1.0]),
                        dtype=dtype.float32)