def test_eig_raises():
np.random.seed(10)
num_charges = 1
D = 20
R = 3
charges = [
BaseCharge(np.random.randint(-5, 6, (num_charges, D), dtype=np.int16),
charge_types=[U1Charge] * num_charges) for n in range(R)
]
flows = [False] * R
inds = [Index(charges[n], flows[n]) for n in range(R)]
A = BlockSparseTensor.random(inds)
with pytest.raises(NotImplementedError):
eig(A)
def test_eig_prod(dtype, Ds, num_charges):
np.random.seed(10)
R = len(Ds)
charges = [
BaseCharge(
np.random.randint(-5, 6, (num_charges, Ds[n]), dtype=np.int16),
charge_types=[U1Charge] * num_charges) for n in range(R)
]
flows = [False] * R
inds = [Index(charges[n], flows[n]) for n in range(R)]
A = BlockSparseTensor.random(
inds + [i.copy().flip_flow() for i in inds], dtype=dtype)
dims = np.prod(Ds)
A = A.reshape([dims, dims])
E, V = eig(A)
A_ = V @ diag(E) @ inv(V)
np.testing.assert_allclose(A.data, A_.data)
