inspect_morphogenesis.py 文件源码

def ca_develop(network: FeedForwardNetwork) -> Iterator[ToroidalCellGrid2D]:
        def transition_f(inputs_discrete_values: Sequence[CELL_STATE_T]) -> CELL_STATE_T:
            neighbour_values, xy_values = inputs_discrete_values[:-2], inputs_discrete_values[-2:]

            if all((x == initial_grid.dead_cell) for x in neighbour_values):
                return initial_grid.dead_cell

            inputs_float_values = tuple(state_normalization_rules[n] for n in neighbour_values) + \
                                  tuple(coord_normalization_rules[n] for n in xy_values)

            outputs = network.serial_activate(inputs_float_values)

            return max(zip(alphabet, outputs), key=itemgetter(1))[0]

        yield initial_grid

        for grid in iterate_ca_n_times_or_until_cycle_found(
                initial_grid=initial_grid,
                transition_f=transition_f,
                n=iterations,
                iterate_f=iterate_ca_once_with_coord_inputs
        ):
            yield grid