Issue: the tests on the new samplers take too much time and make the local pytest and github build very slow. Tests on RegularizedLinearRTO and NUTS are the most expensive ones.
Solution: as suggested by Nicolai, we
reduce the default length of the chain from 100 to 20
keep only 2 of the default targets (one being dim 2 and the other dim 128)
keep only 4 of the regularized targets for RegularizedLinearRTO ([single likelihood, multiple likelihood] x [dim 16, dim 128])
The below shows the top 15 time-consuming tests in tests/zexperimental/test_mcmc.py before and after the change:
fixed #413
Issue: the tests on the new samplers take too much time and make the local pytest and github build very slow. Tests on
RegularizedLinearRTO
andNUTS
are the most expensive ones. Solution: as suggested by Nicolai, weRegularizedLinearRTO
([single likelihood, multiple likelihood] x [dim 16, dim 128])The below shows the top 15 time-consuming tests in
tests/zexperimental/test_mcmc.py
before and after the change: