def test_closure_unnormalizable():
"""
Test an unnormalizable vector.
"""
x = np.zeros(3)
with pytest.raises(ditException):
closure(x)
def test_closure_invariance():
x = np.array([1, 2, 3, 4]) / 10
y = x * 2
z = x * .5
xcl = closure(x)
ycl = closure(y)
zcl = closure(z)
assert_almost_equal_array(xcl, ycl)
assert_almost_equal_array(ycl, zcl)
assert_almost_equal_array(zcl, xcl)
def test_closure_invariance():
x = np.array([1, 2, 3, 4]) / 10
y = x * 2
z = x * .5
xcl = closure(x)
ycl = closure(y)
zcl = closure(z)
assert np.allclose(xcl, ycl)
assert np.allclose(ycl, zcl)
assert np.allclose(zcl, xcl)
def test_closure_invariance():
x = np.array([1, 2, 3, 4]) / 10
y = x*2
z = x*.5
xcl = closure(x)
ycl = closure(y)
zcl = closure(z)
assert_almost_equal_array(xcl, ycl)
assert_almost_equal_array(ycl, zcl)
assert_almost_equal_array(zcl, xcl)
def test_basis():
b = np.array([[1 / 1., -1, 0, 0, 0], [1 / 2., 1 / 2., -1, 0, 0],
[1 / 3., 1 / 3., 1 / 3., -1, 0],
[1 / 4., 1 / 4., 1 / 4., 1 / 4., -1]])
b *= np.sqrt([i / (i + 1) for i in range(1, 5)])[:, np.newaxis]
b = closure(exp2(b))
b_ = basis(4)
assert b.shape == b_.shape
assert np.allclose(b, b_)
def test_basis():
b = np.array([[1 / 1., -1, 0, 0, 0], [1 / 2., 1 / 2., -1, 0, 0],
[1 / 3., 1 / 3., 1 / 3., -1, 0],
[1 / 4., 1 / 4., 1 / 4., 1 / 4., -1]])
b *= np.sqrt([i / (i + 1) for i in range(1, 5)])[:, np.newaxis]
b = closure(exp2(b))
b_ = basis(4)
assert_equal_shape(b, b_)
assert_almost_equal_array(b, b_)
def test_basis():
b = np.array([[1/1., -1, 0, 0, 0],
[1/2., 1/2., -1, 0, 0],
[1/3., 1/3., 1/3., -1, 0],
[1/4., 1/4., 1/4., 1/4., -1]])
b *= np.sqrt([i/(i+1) for i in range(1, 5)])[:, np.newaxis]
b = closure(exp2(b))
b_ = basis(4)
assert_equal_shape(b, b_)
assert_almost_equal_array(b, b_)
def test_closure():
# 1D
x = np.array([1.0, 1.0])
y = np.array([0.5, 0.5])
cl_x = closure(x)
assert x.shape == cl_x.shape
assert np.allclose(cl_x, y)
# 2D with multiple rows
x = np.array([[1.0, 1.0], [1.0, 2.0]])
y = np.array([[0.5, 0.5], [1 / 3.0, 2 / 3.0]])
cl_x = closure(x)
assert x.shape == cl_x.shape
assert np.allclose(cl_x, y)
# 2D with one row
x = np.array([[1.0, 1.0]])
y = np.array([[0.5, 0.5]])
cl_x = closure(x)
assert x.shape == cl_x.shape
assert np.allclose(cl_x, y)
def test_closure():
# 1D
x = np.array([1.0, 1.0])
y = np.array([0.5, 0.5])
cl_x = closure(x)
assert_equal_shape(x, cl_x)
assert_almost_equal_array(cl_x, y)
# 2D with multiple rows
x = np.array([[1.0, 1.0], [1.0, 2.0]])
y = np.array([[0.5, 0.5], [1 / 3.0, 2 / 3.0]])
cl_x = closure(x)
assert_equal_shape(x, cl_x)
assert_almost_equal_array(cl_x, y)
# 2D with one row
x = np.array([[1.0, 1.0]])
y = np.array([[0.5, 0.5]])
cl_x = closure(x)
assert_equal_shape(x, cl_x)
assert_almost_equal_array(cl_x, y)
def test_closure():
# 1D
x = np.array([1.0, 1.0])
y = np.array([0.5, 0.5])
cl_x = closure(x)
assert_equal_shape(x, cl_x)
assert_almost_equal_array(cl_x, y)
# 2D with multiple rows
x = np.array([[1.0, 1.0], [1.0, 2.0]])
y = np.array([[0.5, 0.5], [1/3.0, 2/3.0]])
cl_x = closure(x)
assert_equal_shape(x, cl_x)
assert_almost_equal_array(cl_x, y)
# 2D with one row
x = np.array([[1.0, 1.0]])
y = np.array([[0.5, 0.5]])
cl_x = closure(x)
assert_equal_shape(x, cl_x)
assert_almost_equal_array(cl_x, y)
