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In the swap function, memory is accumulated in lhood which eventually becomes too large. The memory issue is resolved by deleting lhood, however then the results and plotting is interrupted.
There is a swap implementation done in Badlands Parallel Tempering that solves the issue. Someone who can compare the two may be able to use that implementation to solve this current problem
In the swap function, memory is accumulated in lhood which eventually becomes too large. The memory issue is resolved by deleting lhood, however then the results and plotting is interrupted.
There is a swap implementation done in Badlands Parallel Tempering that solves the issue. Someone who can compare the two may be able to use that implementation to solve this current problem
https://github.com/pyReef-model/pt-BayesReef/blob/08f14d258c80a4d3abb9b9a9996776953464d8b3/ptBayesReef.py#L504
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