 Posterior coin selection from repeated tosses

If a hidden coin is selected once with prior probability $\pi$ of coin $B$, repeated tosses are independent conditional on that coin. Bayes theorem weights the prior by each all-heads likelihood. They need not be independent without conditioning on the chosen coin.