def test_misc():
X = np.random.standard_normal((40, 5))
power_L(X)
Xa = rr.astransform(X)
np.testing.assert_allclose(todense(Xa), X)
reshapeA = adjoint(reshape((30, ), (6, 5)))
assert_raises(NotImplementedError, todense, reshapeA)
def test_misc():
X = np.random.standard_normal((40, 5))
power_L(X)
Xa = rr.astransform(X)
np.testing.assert_allclose(todense(Xa), X)
reshapeA = adjoint(reshape((30,), (6,5)))
assert_raises(NotImplementedError, todense, reshapeA)
def test_reshape():
reshape_ = reshape((30, ), (6, 5))
assert_equal(reshape_.linear_map(np.arange(30)).shape, (6, 5))
assert_equal(reshape_.affine_map(np.arange(30)).shape, (6, 5))
assert_equal(reshape_.adjoint_map(np.zeros((6, 5))).shape, (30, ))
def test_reshape():
reshape_ = reshape((30,), (6,5))
assert_equal(reshape_.linear_map(np.arange(30)).shape, (6,5))
assert_equal(reshape_.affine_map(np.arange(30)).shape, (6,5))
assert_equal(reshape_.adjoint_map(np.zeros((6,5))).shape, (30,))
