def test_draw_value():
npt.assert_equal(_draw_value(np.array([5, 6])), [5, 6])
npt.assert_equal(_draw_value(np.array(5.)), 5)
npt.assert_equal(_draw_value(tt.constant([5., 6.])), [5, 6])
assert _draw_value(tt.constant(5)) == 5
npt.assert_equal(_draw_value(2 * tt.constant([5., 6.])), [10, 12])
val = theano.shared(np.array([5., 6.]))
npt.assert_equal(_draw_value(val), [5, 6])
npt.assert_equal(_draw_value(2 * val), [10, 12])
a = tt.scalar('a')
a.tag.test_value = 6
npt.assert_equal(_draw_value(2 * a, givens=[(a, 1)]), 2)
assert _draw_value(5) == 5
assert _draw_value(5.) == 5
assert isinstance(_draw_value(5.), type(5.))
assert isinstance(_draw_value(5), type(5))
with pm.Model():
mu = 2 * tt.constant(np.array([5., 6.])) + theano.shared(np.array(5))
a = pm.Normal('a', mu=mu, sigma=5, shape=2)
val1 = _draw_value(a)
val2 = _draw_value(a)
assert np.all(val1 != val2)
with pytest.raises(ValueError) as err:
_draw_value([])
err.match('Unexpected type')
def test_draw_value():
npt.assert_equal(_draw_value(np.array([5, 6])), [5, 6])
npt.assert_equal(_draw_value(np.array(5.)), 5)
npt.assert_equal(_draw_value(tt.constant([5., 6.])), [5, 6])
assert _draw_value(tt.constant(5)) == 5
npt.assert_equal(_draw_value(2 * tt.constant([5., 6.])), [10, 12])
val = theano.shared(np.array([5., 6.]))
npt.assert_equal(_draw_value(val), [5, 6])
npt.assert_equal(_draw_value(2 * val), [10, 12])
a = tt.scalar('a')
a.tag.test_value = 6
npt.assert_equal(_draw_value(2 * a, givens=[(a, 1)]), 2)
assert _draw_value(5) == 5
assert _draw_value(5.) == 5
assert isinstance(_draw_value(5.), type(5.))
assert isinstance(_draw_value(5), type(5))
with pm.Model():
mu = 2 * tt.constant(np.array([5., 6.])) + theano.shared(np.array(5))
a = pm.Normal('a', mu=mu, sd=5, shape=2)
val1 = _draw_value(a)
val2 = _draw_value(a)
assert np.all(val1 != val2)
with pytest.raises(ValueError) as err:
_draw_value([])
err.match('Unexpected type')
def test_draw_value():
npt.assert_equal(_draw_value(np.array([5, 6])), [5, 6])
npt.assert_equal(_draw_value(np.array(5.0)), 5)
npt.assert_equal(_draw_value(aet.constant([5.0, 6.0])), [5, 6])
assert _draw_value(aet.constant(5)) == 5
npt.assert_equal(_draw_value(2 * aet.constant([5.0, 6.0])), [10, 12])
val = aesara.shared(np.array([5.0, 6.0]))
npt.assert_equal(_draw_value(val), [5, 6])
npt.assert_equal(_draw_value(2 * val), [10, 12])
a = aet.scalar("a")
a.tag.test_value = 6
npt.assert_equal(_draw_value(2 * a, givens=[(a, 1)]), 2)
assert _draw_value(5) == 5
assert _draw_value(5.0) == 5
assert isinstance(_draw_value(5.0), type(5.0))
assert isinstance(_draw_value(5), type(5))
with pm.Model():
mu = 2 * aet.constant(np.array([5.0, 6.0])) + aesara.shared(
np.array(5))
a = pm.Normal("a", mu=mu, sigma=5, shape=2)
val1 = _draw_value(a)
val2 = _draw_value(a)
assert np.all(val1 != val2)
with pytest.raises(ValueError) as err:
_draw_value([])
err.match("Unexpected type")
