You would need to recover the posterior mixture indexes (which where marginalized by Mixture) and then resample the posterior of (r) with those indexes.
I don’t know if it was just for the sake of the example, but your components are completely symmetrical, so my guess is they look just like the (r). Furthermore your model does not even need the Mixture. You would have the same result just using one of the (c) directly.