def assert_is_swap(val: cirq.SupportsConsistentApplyUnitary) -> None:
qid_shape = (1, 2, 4, 2)
op_indices = [1, 3]
state = np.arange(2 * (1 * 3 * 4 * 5), dtype=np.complex64).reshape(
(1, 2, 1, 5, 3, 1, 4))
expected = state.copy()
buf = expected[..., 0, 1, :, :].copy()
expected[..., 0, 1, :, :] = expected[..., 1, 0, :, :]
expected[..., 1, 0, :, :] = buf
expected[..., :2, :2, :, :] *= 1j
args = cirq.ApplyUnitaryArgs(state, np.empty_like(state), [5, 4, 6, 3])
sub_args = args._for_operation_with_qid_shape(
op_indices, tuple(qid_shape[i] for i in op_indices))
sub_result = val._apply_unitary_(sub_args)
result = _incorporate_result_into_target(args, sub_args, sub_result)
np.testing.assert_allclose(result, expected, atol=1e-8, verbose=True)
def assert_is_swap_simple(
val: cirq.SupportsConsistentApplyUnitary) -> None:
qid_shape = (2, 2)
op_indices = [0, 1]
state = np.arange(3 * 3, dtype=np.complex64).reshape((1, 3, 3))
expected = state.copy()
buf = expected[..., 0, 1].copy()
expected[..., 0, 1] = expected[..., 1, 0]
expected[..., 1, 0] = buf
expected[..., :2, :2] *= 1j
args = cirq.ApplyUnitaryArgs(state, np.empty_like(state), [1, 2])
sub_args = args._for_operation_with_qid_shape(
op_indices, tuple(qid_shape[i] for i in op_indices))
sub_result = val._apply_unitary_(sub_args)
result = _incorporate_result_into_target(args, sub_args, sub_result)
np.testing.assert_allclose(result, expected, atol=1e-8)
