def test_can_pass_scalar_to_vertex(jvm_view: JVMView) -> None:
gaussian = Vertex(jvm_view.GaussianVertex, 0., 1.)
sample = gaussian.sample()
assert type(sample) == numpy_types
assert sample.shape == ()
assert sample.dtype == float
def test_can_pass_vertex_to_vertex(jvm_view: JVMView) -> None:
mu = Gaussian(0., 1.)
gaussian = Vertex(jvm_view.GaussianVertex, "gaussian", mu, Const(1.))
sample = gaussian.sample()
assert type(sample) == numpy_types
assert sample.shape == ()
assert sample.dtype == float
def test_can_pass_array_to_vertex(jvm_view: JVMView) -> None:
gaussian = Vertex(jvm_view.GaussianVertex, "gaussian", [3, 3], Const(0.),
Const(1.))
sample = gaussian.sample()
assert sample.shape == (3, 3)
def test_can_pass_array_to_vertex(jvm_view: JVMView) -> None:
gaussian = Vertex(jvm_view.GaussianVertex, [3, 3], 0., 1.)
sample = gaussian.sample()
assert sample.shape == (3, 3)
def test_can_pass_pandas_series_to_vertex(jvm_view):
gaussian = Vertex(jvm_view.GaussianVertex, pd.Series(data=[0.1, 0.4]),
pd.Series(data=[0.1, 0.4]))
sample = gaussian.sample()
assert sample.shape == (2, )
def test_can_pass_pandas_dataframe_to_vertex(jvm_view: JVMView) -> None:
gaussian = Vertex(jvm_view.GaussianVertex, pd.DataFrame(data=[0.1, 0.4]),
pd.DataFrame(data=[0.1, 0.4]))
sample = gaussian.sample()
assert sample.shape == (2, 1)
def test_can_pass_ndarray_to_vertex(jvm_view: JVMView) -> None:
gaussian = Vertex(jvm_view.GaussianVertex, np.array([0.1, 0.4]),
np.array([0.4, 0.5]))
sample = gaussian.sample()
assert sample.shape == (2, )
